Visualisation of Large Datasets with Houdini

Visualisation of Large Datasets with Houdini
Ben Simons
Data Arena Lead Developer
University of Technology, Sydney
[email protected]
[email protected]
New UTS Broadway Building
UTS Data Arena
~ April 2014
Today's Outline - Big Data
1. Some strategies used in Film Visual FX
2. Visualisation Techniques in Houdini
3. VFX Data Formats & Disk Systems
Happy Feet 2
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2 Petabytes (2,000,000 GB)
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3D Stereo HD images
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Render: 18,000 cpu cores
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Parallel access to data
HDF5 data on Bluearc & Isolon
NAS Disk Systems
Linux software: Maya, Houdini,
Naiad, Nuke, 3Delight
Entirely made at Carriageworks
in Sydney at Dr D Studios
Resident Evil 3 Extinction
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The Desert Undead: 18-layer images (Rman AOV's)
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Each single image frame was split into 96 tiles
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Rendered on 96 machines, then each frame tile-joined
Houdini
www.sidefx.com
Houdini across 2 screens
Houdini Object Nodes
Houdini Procedural Network
Houdini Parameters
Houdini Chops
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Channel is a column of data
Plain textfiles ok – separate
columns with tabs
Interactive Channel graph
(zoom in)
Visual programming
Filtering, Sampling, shading,
instancing, and rendering
Hands-on tomorrow will be
Chops & Vops
Spitzer Glimpse Dataset
http://data.spitzer.caltech.edu/popular/glimpse/20070416_enhanced_v2/source_lists/south/
Spitzer Space Telescope
GLIMPSE Dataset
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South: ~300 files, 78 different Channels, 145K rows
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gzipped .tbl data loaded into Houdini
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Houdini Chops used to filter & calc 'colours'
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Show difference of infra-red magnitude bands
Point colours and scales calculated by VOPs SIMD
Shaders
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Houdini Movie Rendered (Mantra PBR)
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36M points, filtered <12M
Shading & VOP's
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A shader is a mini-program which makes data
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It can be better to generate data than load it.
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Shaders allow additional level of management
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Geom shaders on HF2 generated 1 billion snow
particles per image frame (impossible to load).
Houdini VOP's are SIMD
Houdini
VOP Network
Instancing
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Saves Memory & I/O by re-using geometry
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Copies generated at render time
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Each Instance can be varied based on point
attributes
Referencing one “instance object” provides a
massive data reduction
Adaptive Meshes, LOD, Caching &
Filtering
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Data reduction techniques
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Level of Detail (distance from camera)
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Adaptive Meshes
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Cache common files locally
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Filter texture (images) - Mipmapping
Other tricks Baked Lighting & Shadows
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Pre-calculate lighting
& shadows
“bake” new textures
& reapply onto geom
Sydney Harbour
Multi-Beam Sonar
Survey, 30cm data.
Interactive 3D Flythrough
Know ur Limits: Memory & I/O
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I/O will Bottleneck - Partition the problem & then scale it up
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Split job across many independent machines (eg. render)
Segment data access for each machine (eg. HDF5)
Alternate memory hardware
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Vector (array) processor - SIMD
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as Cray, now intel SSE/MMX and Nvidia GPU
IBM Cell Processor has Vector Processor
Content-Addressable Memory
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“associative arrays” are used by Network Routers
Types of System Memory
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Virtual Memory
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Swapping is good, thrashing is bad
SMP vs MPI
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SMP Symmetric Multiprocessing: Multiple CPU's with
common/shared memory. Multi-threaded apps.
eg. Intel Xeon, Core 2 Duo are SMP.
– Cache coherency, snooping bus (on distributed SM)
ccNUMA
MPI (Message Passing) PVM Clusters, Beowulf, etc
(Memory not shared)
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Data Formats
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HDF5 “Heirachical Data Format”
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www.hdfgroup.org
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Browsable container of data (HDFView)
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Has “groups & datasets” like “dirs & files”
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Data stored in B-Trees
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Can also store Binary Data
HDF5 for Python www.h5py.org
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Operate on HDF5 data via python dictionaries
& NumPy arrays - www.numpy.org
Disk Systems
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Network Attached Storage (NAS)
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Bluearc (now Hitachi) implemented via FPGA
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Isilon (now EMC) clustered filesystem, 100GB/s
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Lustre Filesystem
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Multiple SSD nodes & maintains global file coherency
Experimental Parallel distributed filesystem – can
have multiple copies of a file, one master.
Venti (Bell Labs Plan-9 & Inferno)
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WORM Archive. Shares Blocks by secure SHA-1 Hash.
Data Formats 2
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Open VDB www.openvdb.org
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Hierachical structure for volumetric data (“clouds”)
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Good for sparse volumetric time-varying data
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Fast access (constant-time) to voxels
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Large set of operators (Level Set tools, filters,
transforms & morphological operators)
Data Formats 3
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Disney Ptex eliminates uv texture assignment
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http://ptex.us/
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no (u,v)'s required! no seams visible
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works on sub-d/poly faces
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Stores face adjacency data & filters
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Efficiently stores 106 mipmapped texture files
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Multi-channels, compressed separately
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Used in Disney's “Bolt”
“D3” Data-Driven Documents
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D3 – An amazing Data visualisation web framework (javascript)
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http://d3js.org
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See: https://github.com/mbostock/d3/wiki/Gallery
Offers Parallel Coordinates
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Demo ? Nutrient Contents - An interactive visualization of
the USDA Nutrient Database.
http://exposedata.com/parallel/
Parallel Co-ordinates
protein, calcium, sodium, fibre, vitamin c, potassium, carbohydrate, sugar, fat, water, calories, saturated, ...