Formulaire 2 / Form 2

Transcription

Formulaire 2 / Form 2
ANTHONY THEODORE CHRONOPOULOS
NON-SELF CITATIONS LIST (excluding self-citations) (total: 2074)
Publications accessible at: www.cs.utsa.edu/faculty/atc
Please reference our publications, if they are relevant to your research.
(Sources: Citeseer, googlescholar, googleadvancedsearch, MathScinet, proQuest, scopus, web-of-science)
(All Citations have been individually checked in the citing publications)
The list of citations needed to compute the h-index (=28) (which includes self-citations) is posted in a separate file.
Refereed Journal Publications
[J53] H. Siar, K. Kourosh, A. T. Chronopoulos, An effective game theoretic static load balancing applied to distributed computing, Cluster
Computing, Vol 18, 4, pp. 1609-1623, Dec 2015
[J52] M. Meshabi, A. M. Rahmani, A. T. Chronopoulos, Data Placement using Dewey Encoding in a Hierarchical Data Grid, Journal of
Network and Computer Applications, Vol. 49, pp. 88-98, March 2015
Non-Self Citations
(1)
QDR: a QoS-aware data replication algorithm for Data Grids considering security factors
Mansouri, N., Cluster Computing, pp.1-17, 2016
[J51] S. Agaian, M. Madhukar, A. T. Chronopoulos, Automated Screening System for Acute Myelogenous Leukemia Detection in Blood
Microscopic Images, IEEE Systems Journal, vol. 8, no. 3, pp. 995–1004, 2014
Non-Self Citations
(35)
An Approach to classify Acute Myelogenous Leukemia Using LBP Based Features
Neena George et al, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 7 (4) , 2016, 1975-1978
Automatic Recognition of Acute Myelogenous Leukemia in Blood Microscopic Images Using K-means Clustering and Support Vector
Machine
Esmaeili M, Dehnavi AM, Rabbani H, Hajizadeh F, J Med Sign Science 2016;6:183-193.
AML Detection in Blood Microscopic Images Using DRLBP and DRLTP Feature Extraction
Sukanya C.M, Dr. Vince Paul, International Journal of Engineering Science and Computing, IJESC, Volume 6 Issue No. 6, June 2016
Automatic recognition of acute myelogenous leukemia in blood microscopic images using K-means clustering and support vector machine
Kazemi, F., Najafabadi, T. A., & Araabi, B. N, Journal of Medical Signals and Sensors, 6(3), 183. (2016).
Automated Screening System for Acute Leukemia Detection and Type Classification
Anu Jacob, Flower Abraham Mundackal, International Journal of Advanced Research in Electrical, Electronics and
Instrumentation Engineering, Vol. 5, Issue 4, April 2016
(30)
Avaliação de técnicas de segmentação para células leucêmicas em imagens de sangue
Luis H. S. Vogado, Rodrigo M. S. Veras, José Lins, Revista de Sistemas e Computação, Salvador, v. 6, n. 1, p. 65-73, jan./jun. 2016 (In
Portuguese)
Computerized Detection System for Acute Myelogenous Leukemia in Blood Microscopic Images
Yogesh Ambadas Gajul , Rupali Shelke, International Journal of Innovative Research in Science, Engineering and Technology (An ISO 3297:
2007 Certified Organization) Vol. 5, Issue 6, June 2016
Detection of the Acute Myeloid Leukemia cells in the images of white blood cells
Tran Van Nhan, Atsuo Yoshitaka, Abstract, School of Information Science, Japan Advanced Institute of Science and Technology, 2016
A survey on Image Processing Techniques used for Detection of leukemic Cells
N.Poornima ,T.Karthikeyan, International Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 4, April
2016 Copyright to IJARCCE DOI 10.17148/IJARCCE.2016.54144 587
Acute Myeloid Leukemia Detection in Blood Microscopic Image by Using PNN
Snehal Sanjay Patale, Prof. B. H. Pansambal, International Journal of Innovative Research in Computer and Communication Engineering (An
ISO 3297: 2007 Certified Organization) Vol. 4, Issue 4, April 2016
A Real Time System for the Analysis of Sickle Cell Anemia Blood Smear Images Using Image Processing
Parvathy B.H. 1 , Hariharan S2 , Aruna N.S., International Journal of Innovative Research in Science, Engineering and Technology (An ISO
3297: 2007 Certified Organization) Vol. 5, Issue 4, April 2016
A Novel Approach to Detect Acute Myelogenous Leukemia in Blood Microscopic Images
Yogesh Ambadas Gajul1 Mrs. R.J. Shelke, IJSRD - International Journal for Scientific Research & Development, Vol. 3, Issue 12, 2016 |
ISSN (online): 2321-0613
Automated Detection of Acute Myelogenous Leukemia Using Neural Classifier
Mr. Rajeev R Menon, Mr. Ranjith S, International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869 (O) 2454-4698
(P), Volume-4, Issue-3, March 2016
Analysis of White Blood Cells for Malaria Detection
Hemalatha K L, Karthik R, Nandan , 1st International Conference on Innovations in Computing & Networking (ICICN16) 12 & 13, May’16
An Approach to Detect Acute Myelogenous Leukemia in Blood Microscopic Images
Neena George, Lisha Kurian, International Conference on Emerging Trends in Engineering & Management, (ICETEM-2016), 2016
(20)
Detection of Leukemia in Blood Microscope Images
Indira P., Ganesh Babu T. R., Vidhya K., I J C T A, 9(5), 2016, pp. 63-67
Automated Cell Nucleus Segmentation and Acute Myelogenous Leukemia Detection in Blood Microscopic Images Using SVM
K. Thigale1 , V. S. Bhatlavande, International Journal of Modern Trends in Engineering and Research, 2-4 July, 2015, pp. 1555-1560
A Pictorial Review and an Algorithm for the Determination of Sickle Cell Anemia
Hariharan.S, Parvathy.B.H, Aruna.N.S, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958,
Volume-5 Issue-2, December 2015
An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images
Neoh, Siew Chin, Worawut Srisukkham, Li Zhang, Stephen Todryk, Brigit Greystoke, Chee Peng Lim, Mohammed Alamgir Hossain, and
Nauman Aslam, Scientific reports 5 (2015).
Automated Acute Myelogenous Lukemia Detection in Blood Microscopic Image
Jesly James, Kavitha N. Nair, International Journal of Science and Research (IJSR), Volume 4 Issue 12, December 2015.
Automated Screening System for Acute Myelogenous Leukemia Detection using Layer Subtraction
Varghese, Anitta K., and J. S. Nisha, International Journal of Current Engineering and Technology, Vol.5, No.5 (Oct 2015)
An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images
Neoh, Siew Chin, et al., Scientific reports 5 (2015), Vol. 5, 14938, 2015/10/09/online, Macmillan Publishers Limited
Color and morphological based techniques on white blood cells segmentation
Lim, Huey Nee, Mohd Yusoff Mashor, Nadiatun Zawiyah Supardi, and Rosline Hassan, In Biomedical Engineering (ICoBE), 2015 2nd
International Conference on, pp. 1-5. IEEE, 2015
Acute Mylogenous Leukemia Detection Using Blood Microscopic Images
C.Rajivegandhi, Animesh Mrinal, N. Sanjana, Sumeet Shekhar, International Journal for Research in Applied Science & Engineering
Technology (IJRASET), Volume 3 Issue IV, April 2015
Automatic Leukocyte Image Segmentation: A Review
Luis E. Hasbon Reyes, Lola X. Bautista Rozo, Fernando A. Rojas Morales,
IEEE Symposium STSIVA’15, Bogota, Columbia 2015
(10)
Fuzzy C means Detection of Leukemia based on Morphological Contour Segmentation
Viswanathan P, Second International Symposium on Computer Vision and the Internet (VisionNet’15),
Procedia Computer Science 58 ( 2015 ) 84 – 90
A REVIEW ON IDENTIFICATION OF MULTIPLE DISEASES USING RED BLOOD CELL SEGMENTATION AND PATTERN
RECOGNITION
Manohar B Golait, Prof.D.R.Dandekar, Prof. V.R. Ingle, Proceedings of 4th International Conference On Quality Up-gradation in
Engineering, Science & Technology (ICQUEST_2015) Organized by Bapurao Deshmukh College of Engineering, Sevagram, Wardha – 442
102, Maharashtra, India; 11th April, 2015
Unsupervised Segmentation Technique for Acute Leukemia Cells Using Clustering Algorithms
N. H. Harun, A. S. Abdul Nasir, M. Y. Mashor, R. Hassan, International Journal of Computer, Electrical, Automation, Control and
Information Engineering Vol:9, No:1, 2015- World Academy of Science, Engineering and Technology
Automated Detection of Acute Lymphocytic Leukemia-A survey
Sulaja Sanal , International Journal of Engineering Research and General Science, Volume 3, Issue 3, Part-2 , May-June, 2015 ISSN 20912730 168
Classification of Acute Myelogenous Leukemia in Blood Microscopic Images using Supervised Classifier
D. Goutam, S. Sailaja, International Journal of Engineering Research & Technology (IJERT), Vol. 4 Issue 01,January-2015
AUTOMATED CELL NUCLEUS SEGMENTATION AND ACUTE MYELOGENOUS LEUKEMIA DETECTION IN BLOOD
MICROSCOPIC IMAGES
KIRTI THIGALE , V. S. BHATLAVANDE , KISHOR BHANGALE, IJPRET, 2015; Volume 3 (9): 729-738, 2015
Detection of Leukemia with Blood Microscopic Images
Arputha Regina, International Journal of Innovative Research in Computer and Communication Engineering, Vol.3, Special Issue 3, April
2015
An Efficient VLSI Design for Extracting Local Binary Pattern
A. Bharathivanan, INTERNATIONAL JOURNAL FOR TRENDS IN ENGINEERING & TECHNOLOGY VOLUME 4 ISSUE 1 – APRIL
2015
CLASSIFICATION OF ACUTE LYMPHOBLASTIC LEUKEMIA IN BLOOD MICROSCOPIC IMAGES USING SVM
C.Vidhya, P.Saravana kumar, K.Keerthika, C.Nagalakshmi, B.Medona devi, International Conference on Engineering Trends and Science &
Humanities (ICETSH-2015) , 2015
A Survey on Image Segmentation Techniques Used In Leukemia Detection
Mashiat Fatma, Jaya Sharma, Int. Journal of Engineering Research and Applications, ISSN : 2248-9622, Vol. 4, Issue 5( Version 6), May
2014, pp.66-71
[J50] S. Penmatsa, A. T. Chronopoulos, Cost minimization in utility computing systems, Concurrency and Computation: Practice and
Experience, Wiley, Vol. 16, Issue 1, pp. 287-307, 2014.
Non-Self Citations
(3)
Bi-objective workflow scheduling of the energy consumption and reliability in heterogeneous computing systems
Zhang, L., Li, K., Li, C., & Li, K. , Information Sciences, 2016
A model for resource management in computational grid for real-time jobs using game theory
Kaushik, Achal, and Deo Prakash Vidyarthi, International Journal of Grid and Utility Computing 6, no. 3-4 (2015): 232-248.
Flexible processing architecture for maintaining QoS in embedded systems applications
Colom López, J. F., Mora Mora, H., & Gil Méndez, D., Jornadas de Computación Empotrada, Valladolid, 17-19 Septiembre 2014.
[J49] I. Riakiotakis, F. M. Ciorba, T. Andronikos, G. Papakonstantinou, A. T. Chronopoulos, Towards the optimal synchronization
granularity for dynamic scheduling of pipelined computations on heterogeneous computing systems, Concurrency and Computation: Practice
and Experience, Wiley, Vol. 24, Issue 18, p. 2302-2327, 2012.
Non-Self Citations
(4)
Tiling and Scheduling of Three-level Perfectly Nested Loops with Dependencies on Heterogeneous Systems
E Z Zefreh, S Lotfi, L M Khanli , J Karimpour, Scalable Computing: Practice and Experience, Volume 17, Number 4, pp. 331–
349, 2016
A DAG Task Scheduling Scheme on Heterogeneous Cluster Systems Using Discrete IWO Algorithm
Yu, S., Li, K., & Xu, Y., Journal of Computational Science. Elsevier, (2016). (Online)
AnkaCom: A Development and Experiment for Extreme Scale Computing,
Celik Y, Pradeep A, Shi JY, InComputer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic
and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on 2015 Oct
26 (pp. 2010-2016). IEEE.
Trend Analysis for Scheduling Algorithm in Cloud Computing,
Wu Yuqi Zeng, Guo-sun Zeng Yuan, Journal Microelectronics & Computer (in Chinese), Vol. 29(9), 2012
[J48] S. Penmatsa, A. T. Chronopoulos, Game-Theoretic Static Load Balancing for Distributed Systems, Journal of Parallel and Distributed
Computing, Vol. 71, pp. 537-555, 2011.
Non-Self Citations
(85)
Genetic Algorithm based Load Balancing Technique (GALBT) for Application Processing in Cloud
J. Janet , G. Sreelatha and A. B. Manju, Journal of Engineering and Applied Sciences,
VOL. 11, NO. 17, SEPTEMBER 2016
A Review of Load Balancing Technique of Cloud Computing Using Swarm Intelligence
Abhishek Kumar Tiwari et al, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 7 (2) , 2016, 741-744
Self‐adaptation and mutual adaptation for distributed scheduling in benevolent clouds,
Xiao, Z., Liang, P., Tong, Z., Li, K., Khan, S. U., & Li, K., Concurrency and Computation: Practice and Experience. (2016). Wiley (online)
A DAG Task Scheduling Scheme on Heterogeneous Cluster Systems Using Discrete IWO Algorithm
Yu, S., Li, K., & Xu, Y. , Journal of Computational Science. Elsevier, (2016). (Online)
Survey Report on Distributed System Using Load Balancing Approach
Arju Malik ,Pankaj Pratap Singh, IOSR Journal of Computer Engineering (IOSR-JCE), Volume 18, Issue 4, Ver. V (Jul.-Aug.
2016), PP 153-158
(80)
Distributed two-level cloud-based multimedia task scheduling
Liu, Y., Li, C., & Li, L., Automatic Control and Computer Sciences, 50(3), 141-150, Springer, (2016)
Load Balancing Technique in Cloud Computing : A Review
Narendra Chamoli, Himanshu Suyal, Amit Panwar and Ravinder Chauhan, International Journal of Computer Applications 145(15):6-10,
July 2016
A Review on Software Testing Approaches for Cloud Applications
Siddiqui, T., & Ahmad, Perspectives in Science, 8, 689-691, 2016
Load Rebalancing for Large-Scale, Dynamic, and Distributed File Systems in Clouds
Y. MADHUSEKHAR , BUKYA PAVAN NAYAK, International Journal of Advanced Technology and Innovative Research
(IJATIR), Vol.08, Issue.07, July-2016, Pages:1347-1351
SURVEY OF TECHNIQUES AND CHALLENGES FOR LOAD BALANCING IN PUBLIC CLOUD
Karuna G.Bakde, Prof. B .M. Patil, International Journal of Technical Research and Applications, Volume 4, Issue 2 (March-April, 2016), PP.
279-290 279
Survey of Load Balancing Techniques for Grid
Patel, D.K., Tripathy, D. and Tripathy, C.R., Journal of Network and Computer Applications.(Online, Feb 2016) Elsevier
A Shared Approach of Dynamic Load Balancing in Cloud Computing
S Mishra, R Tondon, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 23951990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.632-638, March-April-2016
Rational Queueing
Hassin R., CRC Press, Mar 23, 2016
A QoS-aware self-correcting observation based load balancer
VR Chandakanna, VK Vatsavayi, Journal of Systems and Software, Vol 115, May 2016, pp 111-129– Elsevier
A QoS-aware Self-correcting Observation Based Load Balancer
Chandakanna VR, Vatsavayi VK, Journal of Systems and Software, Feb 6, 2016
(70)
A Survey of Task Allocation and Load Balancing in Distributed Systems
Jiang, Yichuan, IEEE Transactions on Parallel and Distributed Systems , TPDS.2015.2407900 (published Online)
A Framework of Price Bidding Configurations for Resource Usage in Cloud Computing
Li, Kenli, Chubo Liu, Keqin Li, and Albert Zomaya, IEEE Trans Parallel and Distributed Systems, Online 2015
Strategy Configurations of Multiple Users Competition for Cloud Service Reservation
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 27, NO. 2, FEBRUARY 2016
Secure Load Rebalancing in Cloud Environment
Mannava Praveen Kumar, Srinivas LNB, International Journal of Science and Research (IJSR), Volume 4 Issue 4, April 2015
An efficient computing approach for infrastructure service
V.Bhaskar, A.Balaram, INTERNATIONAL JOURNAL OF MERGING TECHNOLOGY AND ADVANCED RESEARCH IN
COMPUTING, ISSN: 2320-1363, 2015
Distributed Load Rebalancing by using Cloud Computing
B.Trinadh, Ravi Mathey, IJDCST @Oct, Issue- V-2, I-7, SW-09, 2015
Public Auditing for Common Information in Located on Partitioning for the Cloud
AA KUMARI, BV PRATHAP – 2015, Intenational Journal of Innovative Technology, Vol. 3, Issue 6, Aug. 2015
B Ashok, DS Reddy, IJARES/August 2015/Volume-3/Issue-8/2078-2083
Cloud Partitioning is an Optimal Approach for Public Cloud
SV Kumar, Deeba khan, MMJ Lakshmi, International Journal and Magazine of Engineering , Technology, Management and Research, Vol. 2,
Issue 8, Aug. 2015
Community Auditing Cloud Partitioning for the Public Cloud
P SAISWAPNA, M CHIRANJEEVI , International Journal of Innovative Technologies, Vol.03,Issue 4, p. 0499-0504, July-2015
Load Balancing in Cloud using CURE Clustering
Renuka Joshi, Sunita Nandgave, Int’l Journal Of Scientific Research And Education,Vol 3,Issue7,Pages-3906-3913, July-2015
(60)
SURVEY: CLOUD PARTITIONING USING LOAD BALANCING APPROACH FOR PUBLIC CLOUD INFRASTRUCTURE
Rajesh Kumar, Charanjit Singh, INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY, 4(4):
April, 2015
IMPROVEMENT OF CLOUD DATA BY CONSIDERING LOAD STRATAGEM
Shaik Masthan Vali, Rambabu Pemula, IJRRECS/November 2014/Volume-2/Issue-11/3555-3559
A Model for load balancing for the Public Cloud by cloud partitioning technique
Priyanka Shinde, P.M.Chawan, Int’l Journal of Modern Trends in Engineering and Research (IJMTER), Vol 2, Is 03, 2015
A Load Balanced Greening Approach for Proficient Resource Allocation with Cloud Partitioning
R.Divya, S. Premkumar Deepak, International Journal of Innovative Research in Computer and Communication Engineering
(An ISO 3297: 2007 Certified Organization) Vol.2, Special Issue 1, March 2014
BALANCING TECHNIQUE IN CLOUD COMPUTING BY PARTITIONING: AN INTRODUCTION TO DYNAMIC APPROACH
Manjunatha Swamy C, Kiran B, International Journal of Advanced Engineering Research and Technology (IJAERT)
Volume 3 Issue 2, February 2015
LOAD BALANCING IN DISTRIBUTED SYSTEMS FOR CLOUD COMPUTING ENVIRONMENT
PENUMATCHA RAGHU, PENMETSA VAMSI KRISHNA RAJA, International Journal Of Advanced Research and Innovation -Vol.8,
Issue I, April 2015
Improving Performance and Reliability Using New Load Balancing Strategy with Large Public Cloud
P.Gayathri Atchuta, L.Prasanna Kumar, Amarendra Kothalanka, International Journal of Engineering Trends and Technology (IJETT) –
Volume 21 Number 8 – March 2015
Clustered Node Based Load Balancing In Distributed Environment
Padmaja, Suresh, L Tulasi, Int’l Journal of Science Engineering and Advance Technology, IJSEAT, Vol 3, Is 2, February – 2015
AN EFFICIENT COMPUTING APPROACH FOR INFRASTRUCTURE SERVICE
V. Bhaskar, A.Balaram, INT’L J OF MERGING TECHNOLOGY AND ADVANCED RESEARCH IN COMPUTING, ISSN: 2320-1363,
2015
An Optimized Load Balancing Load Balancing Strategies for Public Cloud Infrastructures
V. Harini, P. Srivastavas, S . Shalini, Int’l Journal of Advanced Technology and Innovative Research, Vol 6, 12, Dec 2014
(50)
Using Game Theory to Improve the Efficiency over Cloud Environment
CH. MOUNIKA, G.THIRUPATHI, N. SATHISH KUMAR, International Journal of Advanced Technology and Innovative Research, Vol.06,
Issue.04, Pages:182-187, June-2014
A Package Complementary Load Balancing Model Based On Cloud Partitioning For the Public Cloud
Ashwini Patil, Aruna M. G., M S Journal of Engineering Technology and Research, VOL 2 ISSUE 2, 2014
A DYNAMIC LOAD BALANCING SCHEME FOR ENERGY EFFICIENT RESOURCE UTILIZATION
IN CLOUD COMPUTING
A.Sunitha, V.B.Vintha, I n t e r n a t i o n a l J o u r n a l o f E n g i n e e r i n g R e s e a r c h a n d S p o r t s S c i e n c e, (IJERSS), Vol.
1, Issue 12, Dec 2014.
Migration Cost-Sensitive Load Balancing for Social Networked Multiagent Systems with Communities
Wanyuan Wang, Yichuan Jiang, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence
A Genetic-Fuzzy Algorithm for Load Balancing in Multiprocessor Systems
Roya Nourzadeh, Mehdi Effatparvar, International Journal of Computer Applications (0975 – 8887)
Volume 101– No.10, September 2014
The Dynamic Load Balancing Method On Game Theory For Distributed Systems
Lakshmi Sowjanya Sivalenka, Ch. Hemanandh , K.T.V Subbarao, International Journal of Science Engineering and Advance Technology,
IJSEAT, Vol 2, Issue 12, December - 2014
LOAD BALANCING AND MAINTAINING THE QOS ON DISTRIBUTED CLOUD SYSTEMS
Chandrsekhar Reddy, Mohammed Alisha, INTERNATIONAL JOURNAL OF REVIEWS ON RECENT ELECTRONICS AND
COMPUTER SCIENCE, IJRRECS/November 2014/Volume-2/Issue-11/3555-3559
Efficient Model Based Load Balance on Cloud Partitioning for the Public Cloud
Tellabati Nagaraju, S. Phani Kumar, B. Srikanth, Jagadeeswara Rao. Annam, International Journal & Magazine of Engineering, Volume
No: 1(2014), Issue No: 12 (December)
Cloud Partitioning of Load Balancing Using Round Robin Model
M.V.L. SOWJANYA, D. RAVIKIRAN, INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING IN RESEARCH
TRENDSVOLUME 1, ISSUE 6, DECEMBER 2014, PP 367-37
An approximation algorithm based on game theory for scheduling simple linear deteriorating jobs
K Li, C Liu, K Li,Theoretical Computer Science, 46-51,2014, Science-Direct
(40)
Proactive scheduling in distributed computing—A reinforcement learning approach
Z Tong, Z Xiao, K Li, K Li, Journal of Parallel and Distributed Computing, no. 7, 2662-2672. 2014 – Elsevier
A fixed point model for rate control and routing in cloud data center networks
B Li, X Ma, J Li, Z Zong - Security and Communication Networks, 7, no. 9. 1420-1436. 2013 - Wiley
Dynamic Load Distribution and Balancing using Cloud Partitioning
Snehal D. Sonawan and R. H.Borhade, International Journal of Current Engineering and Technology, Vol.4, No.4 (Aug 2014)
Research on Load Balancing in Cloud Computing Based on Marketing Theory
Song, Shaoyi, Tingjie Lv, and Xia Chen, The Scientific World Journal, Accepted 19 February 2014
Cloud Partitioning Based Load Balancing Model for Performance Enhancement in Public Cloud
Neha Gohar Khan, Prof. V. B. Bhagat, International Journal of Science and Research (IJSR), pp. 2319-7064 , Volume 3 Issue 9, September
2014
Dynamic Strategies to Stabilize Jobs in Partitioned Public Cloud
DHANU MUKESH, G. LAKSHMI NARAYANA, International Conference on Industrial Scientific Research Engineering Conference
No.04, July-2014, Pages:021-025
A REVIEW ON LOAD BALANCING TECHNIQUE IN THE PUBLIC CLOUD USING PARTITIONING METHOD
G. DAMODAR, D. BARATH KUMAR, International Journal for research in advanced technologies, Volume 2, Issue 3 OCT 2014
MANAGING OF IMMENSE CLOUD DATA BY LOAD BALANCING STRATEGY
S Anjum, B Manasa, IJARES/September 2014/Volume-2/Issue-9/1521-1525
Blocking Implication Attacks on Social Network Private Information
Swapna Gangi , Yashaswini Aljapur , Maddikunta Laxman, International Journal of Computer Trends and Technology (IJCTT) V15(4):145150, Sep 2014
A Theoretical Approach to Improve the Performance in Cloud Environment
P. Naveen Kumar, , R. SubaLakshmi , International Journal of Computer Science and Mobile Computing, Vol.3 Issue.10, October- 2014,
pg. 760-767
(30)
CONTRIBUTION OF COMPUTING STRATEGY FOR INFRASTRUCTURE RESOURCE
Nalajala Anusha, Penunacha Raghuveer, INTERNATIONAL JOURNAL OF REVIEWS ON RECENT ELECTRONICS AND COMPUTER
SCIENCE, IJRRECS/August 2014/Volume-2/Issue-8/3033-3039
CLOUD BASED LOADBALANCING MODEL USING QUEUE SCHEDULING ALGORITHM
K. ROOPA, G. PRATHAP, IJCS,Vol 13, Issue 1, Sept 2014
Harmonizing Model in Cloud Computing Environment
B. Sreekanth , G. Lokesh, International Journal of Innovative Research in Computer and Communication Engineering , Vol. 2, Issue 8,
August 2014
Load Balancing in Public Cloud
Renuka Joshi, Sunita Nandgave, International Journal of Advance Research in Computer Science and Management Studies , Volume 2, Issue
11, November 2014
LOAD Balancer Strategy Based On Cloud Computing
Radha Krishna Palivela, Chandra Sekhar Reddy, International Journal of Research in Computer and Communication Technology, Vol 3, Issue
10, October 2014
Efficient Model Based Load Balance on Cloud Partitioning for the Public Cloud
Tellabati Nagaraju, S. Phani Kumar, B. Srikanth, Jagadeeswara Rao.Annam, International Journal & Magazine of Engineering, Technology,
Management and Research, Volume No: 1, Issue No: 12 , December 2014
A Review on Software Testing Framework in Cloud Computing
D. Anitha and Dr. M.V.Srinath, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (6) , 7553-7562,
2014
A Survey on Load Balancing of Resources in Cloud Computing Environment
G Sonia, K Narayana, B Sangamithra, IJRIT International Journal of Research in Information Technology, Volume 2, Issue 8, August 2014,
Pg. 211-215
A Secure Load Balancing Technique based on Cloud Partitioning for Public Cloud Infrastructure
N Bedi, S Arora, IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 1 Issue 5, July 2014.
An incremental load balancing approach for heterogeneous distributed processing systems
D Ramesh, AK Pani, International Journal of Scientific & Engineering Research, Volume 5, Issue 5, May-2014
(20)
Reviews of Load Balancing Based on Partitioning in Cloud Computing
Shilpa D.More, Smita Chaudhari, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (3) , 39653967, 2014
ASSESSMENT OF LOAD STRUCTURE FOR PROFICIENCY ENRICHMENT IN CLOUD COMPUTING
Shiva Prasad, B.Vijayakumar, IJARES /Volume-2/Issue-5/1023-1028, May 2014
Cloud Partitioning Based Secured Load balancing Approach for Public Cloud Infrastructure
Amritpal Singh and Nisha Phogat, IJREAT International Journal of Research in Engineering & Advanced Technology, Volume 2, Issue 2,
Apr-May, 2014
A Game Theory To Load Balancing Strategy To Improve The Efficiency In Public Cloud Environment
V.Prudhvi Govind, K.Chandra Sekhar, M.Radhika Mani, International Journal of Research in Computer and Communication Technology,
Vol 3, Issue 11, November 2014
Load Balancing and Maintaining the Qos on Cloud Partitioning For the Public Cloud Cloud
S.Karthika, T.Lavanya, G.Gokila, A.Arunraja, S.Sarumathi, S.Saravanakumar, A.Gokilavani, International Journal of Innovative Research in
Computer and Communication Engineering, Vol. 2, Issue 2, February 2014
Secured Load Balancing Model based on Cloud Partitioning using Round Robin Algorithm for the Public Cloud in Cloud Computing
R.Logashree, S.Brintha Rajakumari, International Journal of Science, Engineering and Technology Research (IJSETR), Volume 3, Issue 4,
April 2014
A NOVEL APPROACH FOR DYNAMIC CLOUD PARTITIONING AND LOAD BALANCING IN CLOUD COMPUTING
ENVIRONMENT
SUGUNA, R., DIVYA MOHANDASS, and R. RANJANI, J. of Theoretical and Applied Information Technology, 62, 3, 2014
Resource Monitoring and Workload Balancing Model for Public Cloud
M Pragathi, S Addamani, VR Nayak International Journal of Scientific and Research Publications, Vol 4, Issue 4, April 2014
Effective Load Balancing Based on Cloud Partitioning for the Public Cloud
T.Satya Nagamani, Suseela Sagar, IJCST Vol. 4, ISSue Spl - 4, CT - Dec 2013
A Diffusion-based Dynamic Load Balancing Algorithm for Heterogeneous Networks and Its Convergence Analysis
Zhang Hao-jun Zhu Yan-qin Ji Qi-jin , Journal of Electronics & Information Technology, Vol.35, No.9 , Sept. 2013
(10)
Enhance Load Rebalance Algorithm for Distributed File Systems in Clouds
Kokilavani K, International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 6, December 2013
Achieving Collaboration in Distributed Systems Deployed Over Selfish Peers
http://tel.archives-ouvertes.fr/docs/00/96/12/33/PDF/these.pdf
Tobias Rene Mayer, Thesis, Univ. Passau, Germany, and INSA de Lyon, France 2013
Cloud Partitioning for Public Clouds using Load Balancing Model,
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Automated memory analysis: Improving the design and implementation of iterative algorithms
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Cache memory behavior of advanced PDE solvers
D Wallin, H Johansson, S Holmgren, Advances in Parallel Computing, Parallel Computing, Software Technology, Algorithms, Architectures
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Multiple search direction conjugate gradient method II: Theory and numerical experiments
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CONVERGENCE THEORY OF MSD-CG METHOD FOR SPD PROBLEMS
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Gu Tong Xiang, Liu Xingping, Chi Xuebin, MATHEMATICA NUMERICA SINICA, (26) (1): 117-128 ISSN: 0254-7791, 2004
An Analysis of Three Different PDE-solvers
H Johansson, Master Thesis, Uppsala University, Sweden, April 2003
On improving the performance of the linear solver restarted GMRES
Baker, Allison, PhD Thesis, University of Colorado at Boulder, 2003 –ProQuest
Paralelización de PCG con matrices en banda
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E. M. Ortigosa, S. Romero, J. I. Ramos, L. F. Romero, XIV JORNADAS DE PARALELISMO, 25-46, MADRID, SEPT 2003
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Exploiting Data Locality in Adaptive Architectures
D Wallin, Lincentiate Thesis, Uppsala University, Sweden, 2003
Finite-choice Algorithm Optimization in Conjugate Gradients,
Dongarra, J., Eijkhout, V. (LAPACK Working Note 159), University of Tennessee Computer, TR, UT-CS-03-502, January 2003
Iterative Krylov methods for large linear systems
HA Van der Vorst, Cambridge University Press, Cambridge - 2003 - books.google.com
Avaliação do Desempenho de Duas Versões do Algoritmo do Gradiente Conjugado Paralelizado em Cluster de PCs
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Guilherme Galante, Jeysonn I. Balbino et al., CCET, UNIOESTE, Campus de Cascavel Anais WSCAD, 162-163, 2002 - Brazil
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GRADIENT-TYPE METHOD
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Iteratively solving large sparse linear systems on parallel computers
HM Bucker, Quantum Simulations of Complex Many-Body Systems:From Theory to Algorithms, Lecture Notes,J. Grotendorst, D. Marx, A.
Muramatsu (Eds.), John von Neumann Institute for Computing, J¨ulich,NIC Series, Vol. 10, ISBN 3-00-009057-6, pp. 521-548, 2002
Parallel simulation of spiral waves in reacting and diffusing media
E. M. Ortigosa, L. F. Romero, J. I. Ramos, Acta Cybernetica 15,173-184, 2001
Parallelization of potential flow solver using PC clusters,
B. J Perot, Proceeding of FEDESM 2000-11223, ASME Fluids Engineering Summer meeting, Boston MA , June 11-15, 2000
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Maui, Hawaii, USA, January 26-28, 2000, APPLICATIONS OF HIGH-PERFORMANCE COMPUTING IN ENGINEERING VI Book
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Eva M. Ortigosa, Luis F. Romero, Emilio L. Zapata, XI JORNADAS DE PARALELISMO,GRANADA, SEPTIEMBRE 2000
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A Survey of Out-of-Core Algorithms in Numerical Linear Algebra,
Sivan Toledo, In James Abello and Jeffrey Scott Vitter, editors, External Memory Algorithms and Visualization, pages 161-180, American
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Developments and trends in the parallel solution of linear systems
IS Duff, HA Van Der Vorst, Parallel Computing, Volume 25, Issues 13-14, December 1999, Pages 1931-1970, 1999 –Elsevier
Numerical linear algebra for high-performance computers
J. Dongarra, I. Duff, D. Sorensen and H. van der Vorst, Book, SIAM, 1998
The stable ATA-orthogonal s-step Orthomin(k) algorithm with the CADNA library,
F Toutounian, Numerical Algorithms, Vol. 17, No. 1-2, Pages 105-119, 1998 –Springer
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Are Magnus Bruaset, Book, Pitman Research Notes in Mathematics Series, Longman Group Limited, pp. 1-161, 1995
The conjugate gradient method on the Parsytec GCel-3/512
LGC Crone, Future Generation Computer Systems, Volume 11, Issue 2, March 1995, Pages 161-166, 1995 – Elsevier
Reducing the effect of global communication in GMRES (m) and CG on parallel distributed memory computers
E De Sturler, HA Van der Vorst, Applied Numerical Mathematics, (IMACS), Vol. 18, pp. 441-459 , 1995 -Elsevier
Projection-Minimization Methods for Nonsymmetric Linear Systems,
K. Jbilou, Linear Algebra and Its Applications, Volume 229, pp. 101-125, 1995
Quantitative Performance Modeling of Scientific Computations and Creating Locality in Numerical Algorithms,
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Parallel iterative solution methods for linear systems arising from discretized PDE's
HA Van der Vorst, Special Course on Parallel Computing in CFD, AGARD-R-807, AGARD, Neuilly-sur-Seine, France Workshop Lecture,
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Parallel Restarted Iterative Methods I and II
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Pulsar Algorithms: A Class of Coarse-Grain Parallel Nonlinear Optimization Algorithms
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Optimization of Three-Dimensional Catalyst Pore Structures,
F. J. Keil and C. Rieckmann, Chemical Engineering Science, Volume 49, No. 24A, 1994, pp. 4811-4822
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An explicit formula for the inverse of the Hilbert matrix
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Efficient data structures and algorithms for scientific computations
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Implementation of an Adaptive Algorithm for Richardson's Method,
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A Parallel Variant of GMRES(m),
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ACM/IEEE Refereed Conference Proceedings Publications
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Design of A Parallel Log Analysis System in OpenStack Cloud System with Apache Spark Framework
Bai Kairen, Thesis, Information Engineering Department of Taichung University of Science and Technology, (2016/01/01), (in
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Bai Kairen, Technical College, Taichung University of Science and Technology, (2016/01/01), P1 – 104, (in Chinese)
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Automating NEURON Simulation Deployment in Cloud Resources
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LOAD BALANCING IN CLOUD ENVIRONMENT: A REVIEW
Sheenam Kamboj, Mr. Navtej Singh Ghumman, International journal of Computers and Technology, Volume 15 Number 8, May 2016
A Multiqueue Interlacing Peak Scheduling Method Based on Tasks' Classification in Cloud Computing
L Zuo, S Dong, L Shu, C Zhu, G Han, IEEE Systems Journal, Online
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Babu KR, Samuel P., In Innovations in Bio-Inspired Computing and Applications 2016 (pp. 67-78). Springer International Publishing.
Server Consolidation Based Dynamic Load Balancing Approach in Cloud Computing
Majmudar S, Panchal K., IJSART - Volume 1 Issue 12 –DECEMBER 2015
A Survey on Load balancing in Cloud Computing using Computational Intelligence Techniques
Kaur, Parvinder, Pooja Nagpal, International Journal of Advances in Computer Science and Communication Engineering (IJACSCE), Vol 3,
Issue 1 (August 2015)
Cutting-Edge Load Balancing Algorithms in Cloud Computing
Monika Kushwaha, Saurabh Gupta, International Journal of Computer Applications (0975 – 8887) Vol 124, No.6, August 2015
An Approach for Managing Different Applications Using Centralized Load Balancer in Cloud
Abhishek, Akash Kumar, Kunal Gautam, Suresh, Vani K.A, International Journal of Engineering Research in Computer Science and
Engineering (IJERCSE) Vol 2, Issue 6, June 2015
Proposing a load balancing method based on Cuckoo Optimization Algorithm for energy management in cloud
computing infrastructures
M Yakhchi, SM Ghafari, S Yakhchi, M Fazeli, Ahmad Patooghi, IEEE 6th International conf on Modeling, Simulation, and Applied
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[C47] Weiliang Luo, Nima Golpavar, Carlos Cardenas, Anthony T. Chronopoulos, Benchmarking Joyent SmartDataCenter for Hadoop
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Incremental Parallelization with Migration
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A COMPARATIVE ANALYSIS OF THE PERFORMANCE OF CLOUD COMPUTING WITH JAVA AND HADOOP
Dalya Raad Abbas, Sanjay T. Singh, International Journal of Computer Science Engineering and Information Technology Research
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A Survey on Resource Scheduling in Cloud Computing: Issues and Challenges
Singh S, Chana I, Journal of Grid Computing, pp. 1-48, 2016
Neural Network Model of Pricing Health Care Insurance
G Zhuang - arXiv preprint arXiv:1307.6290, 2013 - arxiv.org
Priority-aware Gray-box Placement of Virtual Machines in Cloud Platforms
X Liu, L Fan - arXiv preprint arXiv:1307.6622, 2013 - arxiv.org
A Hierarchical Resource Switching and Load Assignment Algorithm for Load Balancing in Cloud System
Ambika Mishra, Susheel Jain, Anurag Jain, International Journal of Scientific & Engineering Research, Volume 5, Issue 3, March-2014
Architecture of Network and Client-Server model
Zhang, Hai, arXiv preprint arXiv:1307.6665 (2013).
A novel approach of solving the CNF-SAT problem
Wang, Xili, arXiv preprint arXiv:1307.6291 (2013).
The Economic Trend of Video Game Industry
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Neural Network Model of Pricing Health Care Insurance
G Zhuang - arXiv preprint arXiv:1307.6290, 2013 - arxiv.org
Priority-aware Gray-box Placement of Virtual Machines in Cloud Platforms
X Liu, L Fan - arXiv preprint arXiv:1307.6622, 2013 - arxiv.org
Architecture of Network and Client-Server model
Zhang, Hai, arXiv preprint arXiv:1307.6665 (2013).
A novel approach of solving the CNF-SAT problem
Wang, Xili, arXiv preprint arXiv:1307.6291 (2013).
The Economic Trend of Video Game Industry
Zhuang, Guanxi, Hai Zhang, and Xia Liu, arXiv preprint arXiv:1307.7058 (2013).
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Zhang, Jun, and Xia Liu, arXiv preprint arXiv:1307.6343 (2013).
[C44] Y. Han, A. T. Chronopoulos, Scalable Loop Self-Scheduling Schemes Implemented on Large-Scale Clusters, Proceedings of the 27th
IEEE International Parallel and Distributed Processing Symposium, Large-Scale Parallel Processing Workshop, pp. 1735-1742, Boston,
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Neural Network Model of Pricing Health Care Insurance
G Zhuang - arXiv preprint arXiv:1307.6290, 2013 - arxiv.org
Priority-aware Gray-box Placement of Virtual Machines in Cloud Platforms
X Liu, L Fan - arXiv preprint arXiv:1307.6622, 2013 - arxiv.org
Load-prediction scheduling algorithm for computer simulation of electrocardiogram in hybrid environments
Wenfeng Shen , Zhaokai Luo , Daming Wei , Weimin Xu ,Xin Zhu, The Journal of Systems & Software, PII: S0164-1212(15)00013-8, 2015
Architecture of Network and Client-Server model
Zhang, Hai, arXiv preprint arXiv:1307.6665 (2013).
A novel approach of solving the CNF-SAT problem
Wang, Xili, arXiv preprint arXiv:1307.6291 (2013).
The Economic Trend of Video Game Industry
Zhuang, Guanxi, Hai Zhang, and Xia Liu, arXiv preprint arXiv:1307.7058 (2013).
The wireless router based on the linux system
Zhang, Jun, and Xia Liu, arXiv preprint arXiv:1307.6343 (2013).
[C43] M. Madhukar, S. Agaian, A.T. Chronopoulos, Deterministic Model for Acute Myelogenous Leukemia Classification, IEEE
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Automated Screening System for Acute Leukemia Detection and Type Classification
Anu Jacob, Flower Abraham Mundackal, International Journal of Advanced Research in Electrical, Electronics and
Instrumentation Engineering, Vol. 5, Issue 4, April 2016
Predication Model for Leukemia Diseases Based on Data Mining Classification Algorithms with Best Accuracy
Fahd Sabry Esmail, M. Badr Senousy, Mohamed Ragaie, World Academy of Science, Engineering and Technology International Journal of
Computer, Electrical, Automation, Control and Information Engineering Vol:10, No:5, 2016
CLASSIFICATION OF ACUTE LEUKEMIA USING IMAGE PROCESSING AND MACHINE LEARNING TECHNIQUES
HAYAN TAREQ ABDUL WAHHAB, PhD Thesis, FACULTY OF COMPUTER SCIENCE & INFORMATION TECHNOLOGY
UNIVERSITY OF MALAYA, KUALA LUMPUR, 2015
Fuzzy Local Information C Means Clustering For Acute Myelogenous Leukemia Image Segmentation
Meera V , Shammy Arun Mathew, International Conference On Innovations & Advances In Science, Engineering And Technology, Toc H
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[C42] A. T. Chronopoulos, S. Penmatsa, N. Jayakumar, E. Ogharandukun, Two-Dimensional Dynamic Loop Scheduling Schemes for
Computer Clusters, Proceedings of IEEE NCA 2012, The 11 th International Symposium on Network Computing and Applications, Boston,
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[C41] S. Penmatsa, A. T. Chronopoulos, Comparison of Price-Based Static and Dynamic Job Allocation Schemes for Grid Computing
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Comparative Analysis of Job Scheduling for Grid Environment
Neeraj Pandey, Ashish Arya, Nitin Kumar Agrawal, International Journal of Computer Science and Business Informatics, Vol.
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Y Kanizo, D Raz, A Zlotnik, In Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International Symposium on, pp. 450457. IEEE, 2013.
Statistical Framework For Load Balancing In Grid Computing For Efficient Job Migration,
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A reconfigurable platform for rapid development of embedded systems
Zhou, J., Yang, M., APSIPA ASC 2010, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference , pp.
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[C39] M. Ciorba, I. Riakiotakis, T. Andronikos, A. T. Chronopoulos, G. Papakonstantinou, Optimal Synchronization Frequency for
Dynamic Pipelined Computations on Heterogeneous Systems, Proceedings of the IEEE International Conference on Cluster Computing,
Austin, Texas, USA, pp. 410-415, September 17-20 2007.
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Tiling and Scheduling of Three-level Perfectly Nested Loops with Dependencies on Heterogeneous Systems
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[C38] K. Kyriakopoulos, A. T. Chronopoulos, L. Ni, An Optimal Scheduling Scheme for Tiling in Distributed Systems, Proceedings of the
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Incremental Parallelization with Migration
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[C37] A. T. Chronopoulos, L. Ni, S. Penmatsa, Multi-Dimensional Dynamic Loop Scheduling Algorithms, Proceedings of the IEEE
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[C36] F. M. Ciorba, T. Andronikos, I. Riakiotakis, G. Papakonstantinou, A. T. Chronopoulos, Studying the impact of synchronization
frequency on scheduling tasks with dependencies in heterogeneous systems, Proceedings of the IEEE/ACM 16th International Conference on
Parallel Architecture and Compilation Techniques, Brashov, Romania, pp. 403 - 403, 15-19 September 2007.
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Tiling and Scheduling of Three-level Perfectly Nested Loops with Dependencies on Heterogeneous Systems
E Z Zefreh, S Lotfi, L M Khanli , J Karimpour, Scalable Computing: Practice and Experience, Volume 17, Number 4, pp. 331–
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[C35] M. Musku, A. T. Chronopoulos, S. Penmatsa , D. Popescu, A Game Theoretic Approach for Medium Access of Open Spectrum in
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Context Awareness and Intelligence in Cognitive Radio Networks: Design and Applications
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Kok-Lim Yau, PhD Thesis, Victoria University of Wellington, New Zealand, 2010
Context-Awareness and Intelligence in Distributed Cognitive Radio Networks: A Reinforcement Learning Learning Approach
Yau KLA, Komisarczuk P, Teal PD Conference Information: 11th Australian Communications Theory Workshop, FEB 02-05, 2010
Australian Natl Univ, Canberra, AUSTRALIA
Applications of reinforcement learning to cognitive radio networks,
Yau KLA, Komisarczuk P, Teal PD, Communications Workshops (ICC), 2010 IEEE International Conference on, May 2010
Achieving efficient and optimal joint action in distributed cognitive radio networks using payoff propagation,
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2007, pp. 424-430
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Caringi, A M, PhD, Pontif´ıcia Universidade Cat´olica do Rio Grande do Sul Porto Alegre, 2006, Brazil
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em Ambientes Heterogêneos de PCs
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Roberta Ribeiro Ferreira, PhD Thesis, Universidade de Brasília, Brasil, 2006
Un Algoritmo Autoplanificador Cuadrático para Clusters Heterogéneos de Computadores
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Dynamic load balancing in embedded systems based on triplet-based hierarchical interconnection
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B Liu, YJ Gao, IEEE Conf. on Mechatronic and Embedded Systems Systems and Applications, 2006
A Quadratic Self-Scheduling Algorithm for Heterogeneous Distributed Computing Systems
J. Díaz, S. Reyes, A. Niño and C. MuñozCaro, The 2006 IEEE International Conference on Cluster Computing (Cluster
2006), Vols. 1-2, Barcelona, Spain, pp. 683-690, 2006- ieeexplore.ieee.org
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J. Herrera, E. Huedo, R. S. Montero and I. M. Llorente, Proc. of the 20th IEEE International Parallel and Distributed
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CT Yang, WC Shih, SS Tseng, Proc. of the 6-th International Conference on Computational Science (ICCS 2006), pp.
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Performance-based loop scheduling on grid environments
WC Shih, CT Yang, SS Tseng – Proc. of the First International Workshop on Advanced Low Power Systems (ALPS
2006), Nara, Japan, September 7-9, 2005- Springer
An Enhanced Two-Phases Parallel Loop Self-Scheduling Scheme for PC Clusters and Grid Environments
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T Ferreto, C De Rose, C Northfleet, Second International Symposium Parallel and Distributed Processing and
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KW Cheng, CT Yang, CL Lai, SC, and S. C. Chang, IEEE 7th International Symposium on Parallel Architectures,
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KWC Chao-Tung Yang, KC Li, Proc. of the IFIP International Conference on Network and Parallel Computing (NPC
2004), LNCS 3222, pp. 92-100, Wuhan, China, October 18-20, 2004 – Springer
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CT Yang, SC Chang, Journal of Information Science and Engineering, Vol. 20, pp. 263-273, 2004
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CT Yang, SC Chang, Proc. of the International Conference on Computational Science (ICCS 2003),
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Design of a Pipelined PC Cluster using Idle PCs on LAN
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Y-G Kim, Gil-Ho Oh, Proc of the 20th Korea Data Processing Association's Conference (2003. 11), 2003
A Genetic Algorithm for Parallel Program Scheduling onto heterogeneous clusters
https://exact.ipipan.waw.pl/pdf/kaeiog/KAEiOG2003.18.pdf
M. Podsiadlo, Proceedings of the 6th National Conference on Evolutionary Computation and Global Optimization,
Warsaw University of Technology, 2003
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A. T. Chronopoulos, D. Grosu, A. Wissink, M. Benche, Static load balancing for CFD simulations on a
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Load balancing in heterogeneous networks: a mobile agent approach
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Neeraj Kumar, PhD Thesis, Shri Mata Vaishno Devi University, INDIA 2013
Secure File Assignment in Heterogeneous Distributed Systems
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Y Tian, PhD Thesis, Auburn University, Auburn, Alabama, 2013
A Secure File Allocation Algorithm for Heterogeneous Distributed Systems
Tian, Yun; Xie, J; Yin, S; Zhang, Ji; Qin, Xiao; Alghamdi, M I ; Qiu, Meikang; Yang, Yiming, Parallel Processing
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Interconnection Architecture
Bin Liu; Yu Jin Gao, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications,
pp. 1-6, 2006 - ieeexplore.ieee.org
Dynamic I/O-aware load balancing and resource management for clusters
X Qin, PhD Thesis, Dept. of CSE, Univ of Nebraska, Lincoln, July 2004 – proQuest
A Parallelization Technique that Improves Performance and Cluster Utilization Efficiency for
Heterogeneous Clusters of Workstations
G Díaz-Cuéllar, DA Garza-Salazar, IEEE Cluster Computing, p 275–283, Chicago, Illinois, 2002
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C. Johnston, A. T. Chronopoulos, A Communication Latency Hiding Parallelization of a Traffic Flow
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An architecture for a nondeterministic distributed simulator
M Bumble, LD Coraor, IEEE Trans. Vehicular Technology, pp. 453 – 471, 51, no. 3 (2002)
A parallel architecture for non-deterministic discrete event simulation
Bumble, Marc, PhD Thesis, The Pennsylvania State University, 2001 -ProQuest
An Implementation Parallel Monte Carlo Method for Traffic Flow Simulation
http://www.wseas.us/e-library/conferences/crete2001/papers/481.pdf
HJ Cho, FY Lai, WSEAS conf , 2001
A Monte Carlo simulation for multi-dimensional traffc dispersion model
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Hsun-Jung Cho, Fang-Yu Lai, and Hsiao-Mei Lu, Europhysics Conference on Computational Physics, A121, 5 - 8
September 2001, Aachen, Germany
[C7] C. Johnston, A. T. Chronopoulos, The Parallelization of a Highway Traffic Flow Simulation, Proceedings of
IEEE Frontiers '99, The Seventh Symposium on the Frontiers of Massively Parallel Computation, Annapolis,
Maryland, pp. 192-199, 21-25 February 1999.
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On-line Distributed Prediction and Control for a Large-scale Traffic Network
Yubin Wang, PhD Thesis, Delft University of Technology, Netherlands, March 2015
On-line distributed prediction of traffic flow in a large-scale road network
Y Wang, JH van Schuppen, J Vrancken, Simulation Modelling Practice and Theory, Volume 47, September 2014,
Pages 276–303, 2014
Parallel simulation of large-scale microscopic traffic networks
W Dai, J Zhang, D Zhang, IEEE Advanced Computer Control (ICACC), pp. 22-28, 2010
Freeway Travel Time Prediction by Using the k-NN Method and Comparison of Different Data Classification
Tsai, Chi-Kuang, Thesis, National Chiao Tung Univ, Taiwan, 2008
Macroscopic Dynamic Traffic Flow Model with Mobility Function
Cho-Hsun-Jung, NSC91-2415-H-009-003, National Chiao Tung University Transportation Technology and
Management , 2002
Performance optimization for parallel processing on a multiple-CPU server
YF Fung, MF Ercan, TK Ho, WL Cheung, Computer Physics Communications, Vol 142, Issues 1-3, Pages 191-195,
2001 - Elsevier
CarPAcities: Distributed Car Pool Agencies in Mobile Networks
S Rothkugel, P Sturm, Agent Systems, Mobile Agents, and Applications, Lecture Notes in Computer
Science, 2000, Volume 1882, pp 89-116, 2000 – Springer
Distributed Car Pool Agencies in Mobile Networks
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S Rothkugel, P Sturm, System Software and Distributed Systems, University of Trier, D-54286 Trier, Germany, Final
Report, 2000
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Proceedings of ISCC'98, The Third IEEE Symposium on Computers and Communications, Athens, Greece, pp. 400405, 30 June - 2 July 1998.
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Modeling and Simulation of Traffic Control Mechanisms in ATM Networks,
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Kaushal, Sakshi, Electronic PhD Thesis (available with googlescholar), May 2009. Department of Computer Science
and Engineering, Thapar University, Patiala–147 004 (Punjab) India, August 2008
Buffer with Adaptive Feedback Mechanism for Multimedia Streaming over Peer-to-Peer Network,
http://ndltd.ncl.edu.tw/cgibin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22094NCUE5396012%22.&searchmode=basic
Luo Yueling, Master Thesis, National Changhua University of Education , Taiwan, 2006
Peer-to-peer streaming of multimedia mobile network architecture design and implementation
Lin Jiali, Qiong Zhou Yan, Luo Dexiang, Project No. :95-2221-E-018-014 (in Chinese), Department of Information
Management, National Changhua University of Education and Graduate Institute, 1998
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[C5] C. Tang, A. T. Chronopoulos, E. Yaprak, A Cell Burst Scheduling for ATM Networking. II. Implementation,
Proceedings of ISCC'98, The Third IEEE Symposium on Computers and Communications, Athens, Greece, pp. 462467, 30 June 30-2 July 1998.
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Scheduling optical packet switches with reconfiguration delay
Li, Xin, Hong Kong University of Science and Technology, ProQuest, UMI Dissertations Publishing, 2005.
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of ISCC'98, The Third IEEE Symposium on Computers and Communications, Athens, Greece, pp. 455-461, 30 June 2 July 1998.
[C3] S. Ziavras, H. Grebel , A. T. Chronopoulos, A Low-Complexity Parallel System for Gracious, Scalable
Performance. Case Study for Near PetaFLOPS Computing, Proceedings of IEEE Frontiers'96, The Sixth Symposium
on the Frontiers of Massively Parallel Computation, Annapolis, Maryland, pp. 363-370, October 1996.
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Design of the Communications Interface for a Very High Performance Computer
JB Zydallis, MS Thesis, NJIT, 1998
Performance Analysis of the Simultaneous Optical Multiporcessor Exchange Bus Architecture
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Doskocz, Edward K., PhD Thesis, Univ. of Alabama, Huntsville, 1998
[C2] C. Swanson, A. T. Chronopoulos, Orthogonal s-step methods for nonsymmetric linear systems of equations,
Proceedings of ICS '92, The 6th ACM International Conference on Supercomputing, Washington, DC, pp. 456-465,
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Communication-Avoiding Krylov Subspace Methods,
M. Hoemmen, PhD Thesis, Computer Science, University of California, Berkeley, 2010 -ProQuest
The stable A^T A-orthogonal s-step Orthomin(k) algorithm with the CADNA Library
F Toutounian, Numerical Algorithms, Vol. 17, No. 1-2, Pages 105-119, 1998 –Springer
A Krylov multisplitting algorithm for solving linear systems of equations
CM Huang, DP O'Leary, Linear Algebra and its Applications, Volume 194, pp. 9-29, 15 November 1993
[C1] A. T. Chronopoulos, Towards Efficient Parallel Implementation of the CG Method Applied to a Class of Block
Tridiagonal Linear Systems, Proceedings of IEEE/ACM Supercomputing '91, Albuquerque, New Mexico, pp. 578587, 18-22 November 1991
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Scalable, Parallel Poisson Solvers for CFD Problems
M Younas, PhD Thesis, Mathematics and Computer Science, University of Groningen, Netherlands, 2012
Developments and trends in the parallel solution of linear systems
IS Duff, HA Van Der Vorst - Parallel Computing, Volume 25, Issues 13-14, December 1999, Pages 1931-1970, 1999 –
Elsevier
Solution of general linear systems of equations using block Krylov based iterative methods on distributed computing
environments,
www.cerfacs.fr/algor/reports/Dissertations/TH_PA_95_40.pdf
Leroy Anthony Drummond Lewis, PhD Thesis, Dec. 18, 1995 - CERFACS, France
Reducing the effect of global communication in GMRES (m) and CG on parallel distributed
memory computers
E De Sturler, HA Van der Vorst, Applied Numerical Mathematics, (IMACS), Vol. 18, pp. 441-459 , 1995
Parallel Numerical Linear Algebra,
JW Demmel, MT Heath, HA van der Vorst, Acta Numerica 1993, Cambridge Univ Press, pp. 111-198, 1993
LAPACK Working Note 60, UT CS-93-192
JW Demmel, MT Heath, HA van der Vorst, CRPC, TR 93424, Rice Univ, Houston, 1993
Virtual memory for data-parallel computing
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T H Cormen, PhD Thesis, MIT, 1993 – Citeseer
Power Systems Transient Stability-A Grand Computing Challenge
DP Koester, S Ranka, GC Fox, Technical Report SCCS 549, School of Computer and Information, Syracuse
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Other Refereed Conference Proceedings Publications
[OC19] M. Madhukar, S. Agaian, A.T. Chronopoulos, New decision support tool for acute lymphoblastic leukemia
classification, Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging
Applications II, IS&T/SPIE, San Francisco, Vol. 8295, pp. 829518-1, 829518-12, 22–26 January 2012.
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Avaliação de técnicas de segmentação para células leucêmicas em imagens de sangue
Luis H. S. Vogado, Rodrigo M. S. Veras, José Lins, Revista de Sistemas e Computação, Salvador, v. 6, n. 1, p. 65-73,
jan./jun. 2016 (In Portuguese)
An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images
Neoh, Siew Chin, Worawut Srisukkham, Li Zhang, Stephen Todryk, Brigit Greystoke, Chee Peng Lim, Mohammed
Alamgir Hossain, and Nauman Aslam, Scientific reports 5 (2015).
Image processing for detection of dengue virus based on WBC classification and decision tree
Tantikitti, S., Tumswadi, S. and Premchaiswadi, W., In ICT and Knowledge Engineering (ICT & Knowledge
Engineering 2015), 2015 13th International Conference on (pp. 84-89). IEEE, 2015, November.
Computer Aided Diagnostic System for Detection of Leukemia Using Microscopic Images
Rawat, J., Singh, A., Bhadauria, H. S., & Virmani, J., Procedia Computer Science, 70, 748-756, 2015
Acute Mylogenous Leukemia Detection Using Blood Microscopic Images
C.Rajivegandhi, Animesh Mrinal, N. Sanjana, Sumeet Shekhar, International Journal for Research in Applied Science
& Engineering Technology (IJRASET), Volume 3 Issue IV, April 2015
An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images
Neoh, Siew Chin, et al., Scientific reports 5 (2015), Vol. 5, 14938, Macmillan Publ. Limited
Acute Leukemia Classification Module for Clinical Decision Support System in Hospital Healthcare Service
I Vincent, C-H Woo, S-H Lee, K-R Kwon, 27th IEEE Conf on Image Processing and understanding, 2015
[OC18] A.T. Chronopoulos, D. Grosu, H. Kikuchi, A New Efficient Polynomial Degree Resolution Protocol and Its
Application to the (M+1)-st Price Private Auction, Proceedings of ACNS'04, 2nd International Conference on Applied
Cryptography and Network Security, Yellow Mountain, China, pp. 358-367, 8-11 June 2004.
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(1) Algorithmic mechanism design for scheduling
Carroll, Thomas, Thesis, Wayne State University, 2006 –ProQuest
[OC17] A. T. Chronopoulos, S. Ponipireddy, J. Sarangapani, Constructing Energy-Efficient Broadcast Trees in
Wireless Ad Hoc Networks, Proceedings of the International Symposium on Parallel and Distributed Computing, Iasi,
Romania, Sci. Ann. Cuza Univ., 11, pp. 205-213, 17-20 July 2002.
[OC16] A. T. Chronopoulos, A. B. Kucherov, A Parallel Krylov-Type Method for Nonsymmetric Linear Systems,
Proceedings of the IEEE (sponsored) International Conference on High-Performance Computing, Hyderabad, India, pp.
104-114, 17-20 December 2001- Springer.
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A Block-Asynchronous Relaxation Method for Graphics Processing Units
H. Anzt, J. Dongarra, V. Heuveline, S. Tomov, Journal of Parallel and Distributed Computing, Vol. 73, Issue 12, pp.
1613–1626, 2013
A Block-Asynchronous Relaxation Method for Graphics Processing Units
H. Anzt, J. Dongarra, V. Heuveline, S. Tomov, Parallel and Distributed Processing Symposium Workshops & PhD
Forum (IPDPSW), 2012 IEEE 26th International pp. 113 – 124, 2012
Asynchronous and Multiprecision Linear Solvers-Scalable and Fault-Tolerant Numerics for Energy
Efficient High Performance Computing
H. Antzt, PhD Thesis, Mathematics, Karlsruher Instituts für Technologie (KIT), Germany, 2012
Métodos iterativos en s-pasos para a resolución de grandes sistemas dispersos de ecuacións e a súa implementación
paralela
http://dspace.usc.es/bitstream/10347/4348/1/rep_180_2012.pdf
U. G. Casal, PhD Thesis, University of Santiago de Compostela, Spain, 2012
[OC15] Jianhua Xu, A. T. Chronopoulos Distributed Self-Scheduling for Heterogeneous Workstation Clusters,
Proceedings of the ISCA 12th International Conference on Parallel and Distributed Computing Systems, Fort
Lauderdale, FL, pp. 211-217, 18-20 August 1999.
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89
(1) A Parallel Loop Self-Scheduling for Heterogeneous PC-Clusters
http://140.128.101.1/files/paper/HPCLab/hpclab_91_2.pdf
Shun-Chyi Chang, Thesis, Tungai University, Taichung, Taiwan, 2002
[OC14] R. Andonie, A. T. Chronopoulos, D. Grosu, H. Galmeanu, Distributed backpropagation neural networks on
a PVM Heterogeneous System, Proceedings of the 10th IASTED International Conference on Parallel and Distributed
Computing Systems, Las Vegas, Nevada, pp. 555-560, 23-31 October 1998.
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Grid Computing based Back Propagation Network
ASA Ansari, KK Devadkar, 2012 IEEE International Conference on Communication, Information & Computing
Technology (ICCICT), Oct. 19-20, 2012 Mumbai, India
Scheduling divisible tasks under production or utilization constraints
de la Torre Quintana, L F, Univ of Puerto Rico, Mayaguez (Puerto Rico), ProQuest, 2010
The master-slave paradigm with heterogeneous processors,
O Beaumont, A Legrand, and Yves Robert, IEEE Trans. Parallel Distributed Systems, 14(9):897-908, 2003
Algorithmique parallele heterogene et techniques d’ordonnancement : approches statiques et dynamiques
Arnaud LEGRAND, PhD Thesis, Ecole Normale Superiere de Lyon, France, December 2003
Static Data Allocation and Load Balancing Techniques for Heterogeneous Systems
O. Beuamont, V. Boudet, A. Legrand, F. Rastello, Y. Robert, Annual Review of Scalable Computing, 4, World
Scientific Publishing, pp.1-37, 2002
Bandwidth-centric allocation of independent tasks on heterogeneous platforms ,
O Beaumont, L Carter, J Ferrante, A Legrand, Y Robert, IEEE International Parallel and Distributed Processing
Symposium IPDPS'2002, 2002
Experiences with Shared Virtual memory on system area network clusters: System simulation, implementation
and emulation
A. Bilas, J. P. Singh, Book: Annual Review of Scalable Computing, Editor: Yuen Chung Kwong , Chapter 1, pp. 1-50,
World Scientific Press, 2002
Static Data Allocation and Load Balancing Techniques for Heterogeneous Systems,
O. Beaumont, V. Boudet, A. Legrand, F. Rastello and Y. Robert, Annual Review of Scalable Computing, Vol. 4, C.
Yuen (editor), World Scientific Publishing, 2002
The master-slave paradigm with heterogeneous processors,
Olivier Beaumont, Arnaud Legrand, and Yves Robert, IEEE Cluster'2001, pages 419-426, 2001
[OC13] A. T. Chronopoulos, C. Tang, An Efficient Implementation of Burst Fair Queuing for ATM Networking,
Proceedings of the 10th IASTED International Conference on Parallel and Distributed Computing Systems, Las Vegas,
Nevada, pp. 326-333, 23-31 October 1998.
[OC12] H. Jiang, A. T. Chronopoulos, G. Papakonstantinou, P. Tsanakas, A Path-Driven Loop Scheduling Mapped
onto Generalized Hypercubes, Proceedings of 10th IASTED International Conference on Parallel and Distributed
Computing Systems, Las Vegas, Nevada, pp. 7-13, 23-31 October 1998.
[OC11] A. T. Chronopoulos, Y. Gong, H. Grebel, S. Ziavras, Performance Evaluation of a 100-TeraOps Parallel
System, Proceedings of the ISCA 11th International Conference on Parallel and Distributed Computing Systems,
Chicago, IL, pp. 204-211, 2-4 September 1998.
[OC10] A. M. Wissink, A. S. Lyrintzis, A. T. Chronopoulos, A Parallel Newton-Krylov Method for Rotorcraft
Flowfield Calculations, Proceedings paper AIAA-97-2049. Presented at the 13th AIAA Computational Fluid Dynamics
Conference, Snowmass Village, Colorado, pp. 1060-1070, June 1997.
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Acceleration on stretched meshes with line-implicit LU-SGS in parallel implementation
Otero, Evelyn, and Peter Eliasson, Intern. Journ. of Comp. Fluid Dynamics 29, no. 2 (2015): 133-149.
Acceleration of Compressible Flow Simulations with Edge using Implicit Time Stepping
Evelyn Otero, PhD Thesis, KTH Royal Institute of Technology, Sweden, 2014
Structural Design and Analysis of Cost Effective Rotorcraft for Recovery Purposes
Bruce Ralphin Rose J, Vetrivel S, V10(5), pp. 226-230 April 2014
Structural Design and Analysis of Cost Effective Rotorcraft for Recovery Purposes
Bruce Ralphin Rose J , Vetrivel S , International Journal of Engineering Trends and Technology (IJETT) – Volume 10
Number 5 - Apr 2014
AERODYNAMIC PERFORMANCE PREDICTION OF A SHORT RANGE ROTORCRAFT
Rakeshkumar.C, Bruce Ralphin Rose. J, INTERNATIONAL JOURNAL OF RESEARCH IN AERONAUTICAL AND
MECHANICAL ENGINEERING, Vol. 6, Issue 5, pp. 1-11, May 2014
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A Newton-Krylov solver with a loosely-coupled turbulence model for aerodynamic flows
Blanco, Max, PhD Thesis, University of Toronto (Canada), 2007 -ProQuest
Parallel unstructured grid GMRES+ LU-SGS method for turbulent flows
http://web.cos.gmu.edu/~rlohner/pages/publications/papers/reno03luo1.pdf
H Luo, D Sharov, JD Baum, Loehner, 41st AIAA Aerospace Sciences Meeting & Exhibit, Reno, NV; USA, paper
AIAA-2003-0273, 6-9 Jan. 2003. 2002
[OC9] A. M . Wissink, A. S Lyrintzis, and A. T. Chronopoulos, Parallel Krylov Solvers Applied to the Rotorcraft
CFD code TURNS, Proceedings of the 1996 Computational Aerosciences (CAS) Workshop, NASA Ames Research
Center, Aug. 1996, NASA Conference Publication CD 20011, pp. 43-48, May 1997.
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D. Sharov, H. Luo, J.D. Baum, R. Lohner, AIAA paper, American Institute of Aeronautics and Astronautics AIAA2000-0927, 2000
[OC8] S. Ziavras, H. Grebel, A. T. Chronopoulos, A Scalable-Feasible Parallel Computer Implementing Electronic and
Optical Interconnections for 156 TeraOps Minimum Performance, Proceedings of PetaFLOPS Architecture Workshop,
Oxnard, California, pp. 179-209, April 1996 .
[OC7] A. M. Wissink, A. S. Lyrintzis, A. T. Chronopoulos, High Performance Computing Techniques for Solving
the Transonic Small Disturbance Equation, AIAA Proceedings Paper 95-0576, 33rd AIAA Aerosciences Conference,
Reno, Nevada, pp. 1-12, January 1995.
[OC6]
D. Papadopoulos, C. Siettos, A. G. Boudouvis, A. T. Chronopoulos, Implementation and Performance of
Arnoldi and Lanczos Eigensolvers in Galerkin-Finite Element Computations,
Proceedings of Advances in
Computational Mechanics, CICIL-COMP Ltd, Edinburgh, Scotland, M. Papadrakakis and B.H.V. Topping (Editors),
1994; Second International Conference on Computational Structures Technology, Athens, Greece, pp. 1-9, August
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(1) Review of eigensolution procedures for linear dynamic finite element analysis,
F. Bertolini, Applied. Mechanics Reviews, 51 , 155-172, 1998
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H. Dong, A. T. Chronopoulos, A. Gopinath, Vectorial Integrated Finite-difference Analysis of Dielectric
Waveguide Without Spurious Modes, Proceedings of Integrated Photonics Research Topical Meeting, sponsored by
Optical Society of America, Palm Springs, California, pp. 225-228, March 1993.
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(1) A NOVEL LANCZOS-TYPE PROCEDURE FOR COMPUTING EIGENELEMENTS OF
MAXWELL AND HELMHOLTZ PROBLEMS
B Carpentieri,YF Jing, Progress In Electromagnetics Research, Vol. 110, 81–101, 2010, - jpier.org
[OC4]
A. T. Chronopoulos, M. Pernice, Vector Preconditioned s-step Methods on the IBM 3090/600S/6VF,
Proceedings of Fifth SIAM Conference on Parallel Processing, Houston, Texas, pp. 130-137, March 1991.
Non-Self Citations
(1) A Block Variant of the GMRES Method on Massively Parallel Processors,
G. Li, Parallel Computing, Volume 23, 1997, pp. 1005-1019.
[OC3] A. T. Chronopoulos, Z. Zlatev, Iterative Methods for Nonlinear Operator Equations, Proceedings of Sixth
Southeastern Approximation Theory Conference, Lecture Notes in Pure and Applied Mathematics, Marcel-Dekker,
Volume 138, Memphis State University, Memphis, Tennessee, pp. 243-256, March 1991.
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(5)
Nonlinear orthomin (k) methods
Y Chen, D Cai, Applied Mathematics and Computation, 2001 – Elsevier
Two-step nonlinear conjugate gradient (NCG) method
Deng Ling, and Li Qingyang, Journal of Engineering Mathematics (in Chinese), 15, no. 2, 1998
Local root square of the regression coefficients are biased estimate
http://166.111.121.20:9080/mathjournal/GCSX802/gcsx802005.caj.pdf
D Cai, Journal of Enginnering Mathematics, TsingHua University, Vol. 15, No. 2, 1998, China
Projection methods for systems of equations (studies in computational mathematics, 7)
C Brezinski and W. Wuytack- 1997 – Book Elsevier
Mathematical Reviews (http://www.ams.org/mathscinet/)
MR1174105 (93g:65083), (Reviewer: W. C. Rheinboldt), 65J15 (47H17)
91
[OC2] S. Kim, A. T. Chronopoulos, An Efficient Arnoldi Method Implemented on Parallel Computers, Proceedings of
International Conference on Parallel Processing, Volume III, Pheasant Run Resort St. Charles, Illinois, pp. 167- 170,
August 1991.
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(7)
Communication-Avoiding Krylov Subspace Methods in Theory and Practice
E Carson, PhD Thesis, ECE Dept, Univ. of California, Berkeley, 2015
Communication-Avoiding Krylov Subspace Methods,
M. Hoemmen, PhD Thesis, Computer Science, University of California, Berkeley, 2010 -ProQuest
Implicit Parallel FEM Analysis of Shallow Water Equations,
Jiang Chunbo, Zhang Qinghai and An Xiaomi , TSINGHUA SCIENCE AND TECHNOLOGY, Vol.10 No.3 P.364371, 2005
Alternatives for parallel Krylov subspace basis computation,
Roger B. Sidje, Numerical Linear Algebra with Applications, Vol. 4(4), 305–331 (1997)
Highly Scalable Parallel Linearly-Implicit Extrapolation Algorithms ,
Rainald Ehrig, Ulrich Nowak, Peter Deuflhard, Konrad-Zuse-Zentrum Berlin, TR 96-11, December 1996
A parallel GMRES version for general sparse matrices,
J. Erhel, Elect. Trans. Numer. Anal.,3, 160-176, 1995.
River Flow Simulations Using Parallel Computing Techniques
Jiang Chunbo, Zhang Qinghai, An Xiaomi, Department of Hydraulic Eng., Tsinghua University, Beijing 100084,
China, 1994.
[OC1] A. T. Chronopoulos, Parallel Iterative Methods for (Non)Symmetric (In)Definite Linear Systems, Extended
Abstract, Proceedings of the Fourth SIAM Conference on Parallel Processing for Scientific Computing, Chicago,
Illinois, pp. 63-65, 11-13 December 1989.
Other Publications
[OP9] A. T. Chronopoulos, I. K. Sethi, Traffic route generation and adaptation using case-based reasoning
(Commentary), ITS JOURNAL (GORDON BREACH PUBLISHING, TAYLOR & FRANCIS GROUP), Volume
3, Issue 3, pp. 252-254, 1996.
[OP8]
A. T. Chronopoulos, S. K. Kim, A. T. Chronopoulos and S. K. Kim, s-Step Orthomin and GMRES
implemented on parallel computers,Technical Report UMSI 90/43R, University of Minnesota Supercomputing
Institute, Minneapolis, 1990. Also, published as: Towards Efficient Parallel Implementation of s-step Iterative
Methods, Supercomputer, Volume 47, No. IX-1, pp. 4-17, 1992.
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(45)
S-Step and Communication-Avoiding Iterative Methods
M Naumov, NVIDIA Technical Report NVR-2016-003, April 2016
Communication-Avoiding Krylov Subspace Methods in Theory and Practice
E Carson, PhD Thesis, ECE Dept, Univ. of California, Berkeley, 2015
A Global Arnoldi Method for Large non-Hermitian Eigenproblems with Special Applications to Multiple
Eigenproblems
C Duan, Z Jia, Preprint Tsinghua Univ., 2010 - faculty.math.tsinghua.edu.cn -googlescholar
Communication-Avoiding Krylov Subspace Methods,
M. Hoemmen, PhD Thesis, Computer Science, University of California, Berkeley, 2010 -ProQuest
Conjugate gradient (CG)-type method for the solution of Newton’s equation within optimization
frameworks
G Fasano, Optimization Methods and Software, Vol. 19, Nos. 3–4, June–August 2004, pp. 267–290, 2004
(40)
Iterative Krylov methods for large linear systems
HA Van der Vorst, Cambridge University Press, Cambridge- 2003 - books.google.com
On Some Properties of Planar-CG algorithms for Large Scale Unconstrained Optimization
Fasano, G., Tech. Rep. 03-02, Department of Computer and System Sciences, University of Rome" La Sapienza",
Roma, Italy, 2002.
The Efficient Parallel Newton-GMRES Algorithm for Computational Fluid Dynamics
T YANG, New horizons of computational science, Proceedings of the international symposium on supercomputing held
in Tokyo, Japan, September 1-3, 1997 Dordrecht: Kluwer Academic Publishers, 2001, 312 p. Astrophysics and space
science library (ASSL), Vol. 263. Edited by T. Ebisuzaki, and J. Makino, ISBN 0792370503, p.295-302, 2001
92
Parallel Krylov methods for econometric model simulation
G Pauletto, M Gilli, Computational Economics, Vol 16, No 1-2, p 173-186, 2000 - Springer
Solving sparse least squares problems with preconditioned CGLS method on parallel distributed
memory computers
T Yang, HX Lin, International Journal of Parallel, Emergent and Distributed Systems, Vol 13, Issue 4 , pages 289–305,
1999
Developments and trends in the parallel solution of linear systems
IS Duff, HA Van Der Vorst, Parallel Computing, Vol25, Issues 13-14, pp 1931-1970, 1999 –Elsevier
Numerical linear algebra for high-performance computers
J. Dongarra, I. Duff, D. Sorensen and H. van der Vorst, Book, SIAM, 1998
The stable A^T A-orthogonal s-step Orthomin(k) algorithm with the CADNA Library
F Toutounian, Numerical Algorithms, Vol. 17, No. 1-2, Pages 105-119, 1998 –Springer
Linear system solvers: sparse iterative methods
HA Van der Vorst, TF Chan, Book by D. E. Keyes, A. Sameh and V. Venkatakrishnan (eds), Parallel Numerical
Algorithms, ICASE/LaRC Interdisciplinary Series in Science and
Engineering, Volume 4, Kluwer Academic, Dordecht, pp. 91-118, 1997 – Citeseer
A Block Variant of the GMRES Method on Massively Parallel Processors,
G. Li, Parallel Computing, Volume 23, 1997, pp. 1005-1019
(30)
The Parallel Incomplete Gram-Schmidt Preconditioner on Massively Distributed Memory
Computers
T Yang, HX Lin, Report 1997-04-21, Department of Computer Science, Linkoping Unversity, Sweden, 1997 – Citeseer
Also : In Proceedings of to The 2nd International Conference on Parallel Processing and Applied Mathematics (PPAM97), Zakopane, Poland, 1997.
The highly parallel incomplete Gram-Schmidt preconditioner
T Yang, HX Lin, Lecture Notes In Computer Science, Vol. 1277, Proceedings of the 4th International Conference on
Parallel Computing Technologies, p. 406 – 408, 1997– Springer
Solving sparse least squares problems on massively distributed memory computers
T Yang, Proc Advances in Parallel and Distributed Computing, pp 170 – 177, 1997 - ieee.org
Modified Chebyshev Polynomial Preconditioner for Least Squares Problems on massively Distributed Memory
Computers
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.48.5023&rep=rep1&type=ps
T. Yang, Dept CIS, Tech Rept., Linkoping University, Sweden, 1996
A block variant of the GMRES method for unsymmetric linear systems
G Li, Wuhan University Journal of Natural Sciences, Vol. 1, No.3-4, pp. 508-524, 1996 – Springer
A performance model for Krylov subspace methods on mesh-based parallel computers
E Sturler - Parallel Computing, pp. 57-74, 1996 – Elsevier
Parallel linear systems solvers- Sparse iterative methods
H van der Vorst, P. Wesseling (ed.), High Performance Computing in Fluid Dynamics, pp. 173-200, Kluwer,
Dordrecht, 1996
Parallel Least Squares Problems on Massively Distributed Memory Computers
T Yang, T.R., Department of Computer Science, Linkoping University S-581 83, Linkoping, Sweden
1996- Citeseer
An Efficient Accelerated Waveform Method for Parallel Transient Simulation of Semiconductor
Devices
T Yang, Linkoping University, TR S-581 83, , Sweden 1996- Citeseer; Also: Proc of The 7th International
Symposium on Integrated Circuits, Technology, Systems and Applications (ISIC-97), Singapore, 1997.
Reducing the effect of global communication in GMRES (m) and CG on parallel distributed
memory computers
E De Sturler, HA Van der Vorst, Applied Numerical Mathematics, (IMACS), Vol. 18, pp. 441-459 , 1995
(20)
Hybrid bi-conjugate gradient methods for CFD problems
GLG Sleijpen, HA Van der Vorst, M. Hafez and K. Oshima (eds), Computational Fluid Dynamics Review, Wiley,
Chicester, ISBN 0 471 95589 2, pp.457-476, 1995
Parallel iterative solution methods for linear systems arising from discretized PDE's
HA Van der Vorst, Special Course on Parallel Computing in CFD, TR AGARD-R-807, AGARD, Neuilly-sur-Seine,
France, 1995 – Citeseer
Parallel Restarted Iterative Methods I and II
W. D. Joubert and G. F. Carey in book: Preconditioned iterative methods, editor: D. J. Evans , Topics in Computer
Mathematics, 321-368, 1994, Gordon and Breach Science Publishers
A survey of parallel nonlinear dynamic analysis methodologies
M.W. Fahmya and A.H. Naminia, Computers and Structures, Vol 53, 4, 17 Nov 1994, Pages 1033-1043
93
TRANSPOSE-FREE LANCZOS-TYPE SCHEMES ON TRANSPUTER NETWORK
G Pini , International Journal of Parallel, Emergent and Distributed Systems, 1744-5779, Volume 3, Issue 3, 1994,
Pages 249 – 260, 1994 - informaworld.com
GMRESR: a family of nested GMRES methods
HA Van der Vorst, C Vuik, Numerical linear algebra with Applications, Vol.1(4), pp. 369-386, 1994
A Newton basis GMRES implementation
Z Bai, D Hu, L Reichel, IMA Journal of Numerical Analysis, Vol. 14, 563-581, 1994
Krylov Methods for the Incompressible Navier-Stokes Equations,
W. S. Edwards, L. S. Tuckerman, R. A. Friesner and D. C. Sorensen, Journal of Computational Physics, Volume 11,
1994, pp. 82-102.
An introduction to hybrid iteration methods
HA van der Vorst, GLG Sleijpen, Proceeding of the international workshop on solution techniques
for large-scale CFD problems, W.G. Habashi, ed. (Montreal), pp. 143-159, 1994
A parallel implementation of the GMRES method
D. Calvetti, L. Reichel, J. Petersen: A parallel implementation of GMRES , in Numerical
Linear Algebra and Scientific Computing, eds. L. Reichel, A. Ruttan and R.S. Varga, de
Gruyter, Berlin, pp.31-46, 1993
(10)
Parallel numerical linear algebra
JW Demmel, MT Heath, HA van der Vorst, Acta Numerica 1993, Cambridge University Press, pp. 111-198, 1993,
(Also, LAPACK Working Note 60, UT CS-93-192 Parallel numerical linear algebra), 1993
Parallel aspects of iterative methods
HA Van der Vorst, A.E. Fincham, and B. Ford (Ed), Proc. IMA Conf. on Parallel Computing,
Oxford University Press, Oxford, UK, pp. 175-186, 1993 - portal.acm.org
Parallelizable restarted iterative methods for nonsymmetric linear systems. part I: Theory
WD Joubert, GF Carey – WD Joubert, GF Carey, International Journal of Computer Mathematics, 1029-0265, Volume
44, Issue 1, 1992, p. 243 – 267, 1992 - informaworld.com
Lecture notes on iterative methods
HA Van der Vorst, report TR/PA/92/75, CERFACS, Toulouse, 1992 - Citeseer
Iterative solution of multiple linear systems: Theory, practice, parallelism, and applications
E Gallopoulos, V Simoncini, In Advances in Parallel and Vector Processing for Structural Mechanics, (Proc. Second
Int’l. Conf. Computational Structures Technology) B.H.V. Topping and M. Papadrakakis, edt. pp. 47–51, Civil-Comp
Press, Edinburgh, 1994 -Citeseer
Parallelizable Restarted Iterative Methods for Nonsymmetric Iterative Systems Part II: Parallel Implementation
,
W. D. Joubert and G. F. Carey, Intern Journal of Computer Mathematics,Volume 44, 1992, pp. 269-290.
Implicit Application of Polynomial Filters in a K-step Arnoldi Method,
D. C. Sorensen, SIAM Journal on Matrix Analysis Applications, Volume 13, No. 1, pp. 357-385, 1992
Parallelizable Restarted Iterative Methods for Nonsymmetric Linear Systems,
W. D. Joubert and G. H. Carey, Proceedings of the Fifth SIAM conference
on parallel processing for scientific computing, Houston TX, pp. 138-143, 1991
A Parallel restructured GMRES(m),
E. de Sturler, Technical Report 91-85, Delft University of Technology, Holland, 1991
Implicit Application of Polynomial Filters in a k-step Arnoldi Method
D. C. Sorensen, RIACS Tech. Rept. , 90-43, 1990 – Citeseer
[OP7] G. Rockswold, A. T. Chronopoulos, Efficient Parallel Implementation of Matrix-free Iterative Methods in Stiff
ODE Codes, Technical Report UMSI 91/16, University of Minnesota Supercomputing Institute, Minneapolis,
Minnesota, pp. 1-13, 1991.
[OP6] A. T. Chronopoulos, A fast squared Lanczos method for nonsymmetric linear systems, Technical
Report UMSI 91310, University of Minnesota Supercomputing Institute, Minneapolis, Minnesota, pp. 125, 1991.
Non-Self Citations
(4)
A Survey of Preconditioned Iterative Methods
Are Magnus Bruaset, Book, Pitman Research Notes in Mathematics Series, Longman Group Limited, pp. 1-161, 1995
Domain decomposition algorithms and parallel computation techniques for the numerical solution of
PDE's with applications to the finite element shallow water flow modeling
Cai, Yihong. The Florida State University, ProQuest, UMI Dissertations Publishing, 1994
94
Domain decomposition and parallel processing of a finite element model of the shallow water
equations
M. Navon and Y. Cai, Computer methods in applied mechanics and enginnering, Vol 106, p. 179-212, 1993
Krylov Methods for the Numerical Solution of Initial-Value Problems in Differential-Algebraic Equations,
Steven Lewis Lee, Rept. No.UIUCDCS-R-93-1814, Dec. 1993
[OP5] A. T. Chronopoulos, Krylov Subspace Iterative Methods for Nonsymmetric Indefinite Linear Systems, Technical
Report TR 90-21, Department of Computer Science, University of Minnesota, Minneapolis, Minnesota, pp. 1-27, 1990.
Also, Army High Performance Computing Center preprint AHPCRC 91-23, 1991.
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A few results on Arnoldi's method and IOM for large non-Hermitian linear systems
Zhong Xiao, Jia, Systems Sciences and Mathematical Sciences, Vol. 13, No 3, Jul 2000
Some recursions on Arnoldi's method and IOM for large non-Hermitian linear systems
Z. Jia, Computers & Mathematics with Applications, Volume 39, Issues 3-4, February 2000, Pages 125-129
Computer Solution of Large Linear Systems
G. Meurant, Book, Series Studies in Mathematics and Applications, Vol. 28, Elsevier, 1999
On IOM (q): The incomplete orthogonalization method for large unsymmetric linear systems
Z Jia, Numerical linear algebra with applications, Volume 3, Issue 6, pages 491–512,1996
Parallelizable Restarted Iterative Methods for Nonsymmetric Iterative Systems Part II: Parallel
Implementation,
W. D. Joubert and G. F. Carey, Intern. Journal of Computer Mathematics,Volume 44, 1992, pp. 269-290
[OP4] Kim, S. K., A. T. Chronopoulos, s-step Lanczos and Arnoldi Methods on Parallel Computers, Technical Report
UMSI 1990/14R, University of Minnesota Supercomputing Institute, Minneapolis, pp. 1-26, 1990.
Non-Self Citations
(4)
S-Step and Communication-Avoiding Iterative Methods
M Naumov, NVIDIA Technical Report NVR-2016-003, April 2016
Performance analysis of a parallel mode superposition algorithm for nonlinear structural dynamics
Fahmy, Mohamed Waleed. University of Miami, ProQuest, UMI Dissertations Publishing, 1993
Parallelizable Restarted Iterative Methods for Nonsymmetric Iterative Systems Part II: Parallel
Implementation,
W. D. Joubert and G. F. Carey, Interntl Journal of Computer Mathematics,Volume 44, 1992, pp. 269-290
Efficient data structures and algorithms for scientific computations
Park, S C, PhD Diss, Louisiana State University and Agricultural & Mechanical College, ProQuest, 1991
[OP3] A. T. Chronopoulos, S. Ma, On Squaring Krylov Subspace Iterative methods for Nonsymmetric Linear Systems,
Technical Report TR 89-67, Department of Computer Science, University of Minnesota, Minneapolis, Minnesota, pp.
1-28, 1989.
Non-Self Citations
(4)
Transpose-Free
Formulations
Of
Lanczos-Type
Methods
For
Nonsymmetric
Linear
Systems
Tony F. Chan , L De Pillis, Henk Van Der Vorst, Numerical Algorithms, 17, 51–66, 1998 Springer
Lanczos-type solvers for nonsymmetric linear systems of equations ,
Martin H Gutkneckt, Acta Numerica 1997, 271-397, Cambridge Univesity Press, 1997
A Family of Quasi-Minimal Residual Methods for Nonsymmetric Linear Systems,
C. H. Tong, SIAM Journal on Scientific Computing, Volume 15, No. 1, 1994, pp. 89-105
A memory-conserving hybrid method for solving linear systems with multiple right hand sides
V Simoncini, EJ Gallopoulos, Preprint, Center for Supercomputing Research and Development, University of Illinois
at Urbana-Champaign,1992 - Citeseer
[OP2] S. K. Kim, A. T. Chronopoulos, Multitasking Application using CRAY-2 on Arnoldi's Method for Computing a
few Eigenvalues in a Large Sparse Matrix, Technical Report UMSI 1988/142, University of Minnesota
Supercomputing Institute, Minneapolis, Minnesota, pp. 1-19, 1988.
[OP1] A. T. Chronopoulos, A Class of Parallel Iterative Methods Implemented on Multiprocessors, Ph. D. thesis,
Technical Report UIUCDCS-R-86-1267, Department of Computer Science, University of Illinois, Urbana, Illinois, pp.
1-116, 1986 -ProQuest
Non-Self Citations
(29)
95
S-Step and Communication-Avoiding Iterative Methods
M Naumov, NVIDIA Technical Report NVR-2016-003, April 2016
Methods and systems for delegating work objects across a mixed computer environment
HJ Beatty III, PC Elmendorf, C Gates, C Luo - US Patent 9,235,458, 2016 - Google Patents
Methods and systems for linking objects across a mixed computer environment
HJ Beatty III, PC Elmendorf, C Gates, C Luo - US Patent 9,052,968, 2015 - Google Patents
The Non–Symmetric s–Step Lanczos Algorithm: Derivation Of Efficient Recurrences And Synchronization–Reducing
Variants Of BiCG And QMR
Feuerriegel, S., & Bücker, H. M., International Journal of Applied Mathematics and Computer Science, 25(4), 769-785,
2015
Methods and systems for interactive debugging in a mixed computer environment
HJ Beatty III, PC Elmendorf, C Gates, C Luo, U.S. Patent 8,943,475, issued January 27, 2015.
Minimizing synchronizations in sparse iterative solvers for distributed supercomputers
Zhu, S.-X., Gu, T.-X., Liu, X.-P., Computers & Mathematics with Applications, 67/1, pp. 199 – 209, 2014
Synchronization-Reducing Variants of the Biconjugate Gradient and the Quasi-Minimal Residual
Methods
S Feuerriegel, HM Bücker, Algorithms and Architectures for Parallel Processing, Lecture Notes in Computer
Science, Volume 8285, pp 226-235, 2013
A normalization scheme for the non-symmetric s-Step Lanczos algorithm
S Feuerriegel, HM Bücker , Algorithms and Architectures for Parallel Processing, Lecture Notes in Computer
Science, Volume 8286, pp 30-39, 2013
Métodos iterativos en s-pasos para a resolución de grandes sistemas dispersos de ecuacións e a súa implementación
paralela
http://dspace.usc.es/bitstream/10347/4348/1/rep_180_2012.pdf
U. G. Casal, PhD Thesis, University of Santiago de Compostela, Spain, 2012
(20)
A generalization of s-step variants of gradient methods
J.A. Alvarez-Dios, J.C. Cabaleiro, G. Casal, Journal of Computational and Applied Mathematics, Volume 236, Issue
12, June, Pages 2938-2953, 2012
Computer Solution of Large Linear Systems
G. Meurant, Book, Series Studies in Mathematics and Applications, Vol. 28, Elsevier, 1999
Implementierung eines parallelen vorkonditionierten Schur-Komplement CG-Verfahrens
in das Programmpaket FEAP,
Mathias Meisel, Arnd Meyer, Preprint-Reihe der Chemnitzer DFG-Forschergruppe, Fakult at f ur Mathematik, TU
Chemnitz-Zwickau, PSF 09107, D-09107 Chemnitz, Germany, SPC 95 2, January 1995
SIAM Review,
Henk van der Vorst, Volume 36, No. 4, pp. 678-679, 1994
Efficient parallel iterative method for solving large nonsymmetric linear systems
JH Yun , Comm. Korean Math. Soc. 9 (1994), No.2, pp. 449-465, 1994 - mathnet.or.kr
New convergence results and preconditioning strategies for the conjugate gradient method
IE Kaporin, Numerical linear algebra with applications, Volume 1, Issue 2, pages 179–210, 1994
Optimization of conjugate gradient algorithms
IE Kaporin, Computational Mathematics and Modeling, 1994, Vol 5, No 2, Pages 139-147, 1994 – Springer
A Comparison of Adaptive Chebyshev and Least Squares Polynomial Preconditioning for Hermitian Positive Definite
Linear Systems,
S. F. Ashby, T. A. Manteuffel and J. S. Otto, SIAM Journal on Scientific Computing, 13/ 1, pp. 1-29, 1992
Parallelizable restarted iterative methods for nonsymmetric linear systems. part I: Theory
WD Joubert, GF Carey, International Journal of Computer Mathematics, 1029-0265, Volume 44, Issue 1, 1992, p. 243
– 267, 1992 - informaworld.com
Parallelizable restarted iterative methods for nonsymmetric linear systems. II: parallel
implementation
W. D. Joubert and G. F. Carey, International Journal of Computer Mathematics,Vol 44, pp. 269-290, 1992
(10) OPAC: a cost-effective floating-point coprocessor to compute bound kernels
http://hal.inria.fr/docs/00/07/71/87/PDF/RR-1461.pdf
A Seznec, K Courtel, Tech. Rept 1461, INRIA, Rennes, France, 1991 - hal.inria.f
Minimax Polynomial Preconditioning for Hermitian Linear Systems,
S. F. Ashby, SIAM Journal on Matrix Analysis Applications, Volume 12, No. 4, pp. 766-789, 1991
Periodically Preconditioned Conjugate Gradient-Restoration Algorithm,
J. R. Cloutier and R. F. Wilson, J. of Optimization Theory and Applications, Vol 70, No. 1 , pp. 79-95, 1991
Implementation of an adaptive algorithm for Richardson's method
PE Saylor, DC Smolarski, Linear Algebra and its Applications, 1991 – Elsevier
Adaptive Polynomial Preconditioning for HPD Linear Systems
96
S. F. Ashby, T. A. Manteuffel , J. S. Otto, Book: Computing methods in applied sciences and engineering, editors: R.
Glowinski, A. Lichnewsky, Chapter1, pp. 2-23, SIAM, 1990
Adaptive Polynomial Preconditioning for Hermitian Indefinite Linear Systems,
S. F. Ashby, T. A. Manteuffel and P. E. Saylor, BIT 29, pp. 583-609, 1989
Operator Coefficient Methods for Linear Equations,
J. F. Grcar, Technical Report SAND89-8691, Sandia National Laboratory, Albuquerque, NM, 1989.
Krylov Subspace Methods on Supercomputers,
Y. Saad, SIAM Journal on Scientific Computing, Volume 10, No. 6., pp. 1200-1232, 1989
Leapfrog variants of iterative methods for linear algebraic equations
PE Saylor, Journal of Computational and Applied Mathematics, vol. 24, pp. 169-1993, 1988
97

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