• Home
  • News
  • Tutorials
  • Analysis
  • About
  • Contact

TechEnablement

Education, Planning, Analysis, Code

  • CUDA
    • News
    • Tutorials
    • CUDA Study Guide
  • OpenACC
    • News
    • Tutorials
    • OpenACC Study Guide
  • Xeon Phi
    • News
    • Tutorials
    • Intel Xeon Phi Study Guide
  • OpenCL
    • News
    • Tutorials
    • OpenCL Study Guide
  • Web/Cloud
    • News
    • Tutorials
You are here: Home / News / Hot At Siggraph 2014 – Multithreading for Visual Effects

Hot At Siggraph 2014 – Multithreading for Visual Effects

August 9, 2014 by Rob Farber Leave a Comment

The ACM Siggraph conference starts tomorrow, August 10th, in Vancouver, BC. Multithreading for visual effects coupled with massive parallelism has changed the visual effects industry forever. A new book capturing that trend titled, appropriately enough, “Multithreading for Visual Effects”, is an excellent source of information about how visual effects are currently performed at industry giants such as Pixar and DreamWorks. Key parallelization options discussed include: (1) TBB (Intel Thread Building Blocks), (2) The Clik Plus C/C++ extensions for fine-grained parallel programming, (3) OpenMP, (4) OpenCL, and (5) GPU-specific models. Contributing authors include Martin Watt from DreamWorks, Erwin Coumans (Bullet Physics and Google), George ElKoura (Pixar), Ronald Henderson (DreamWorks). and  James Reinders (Intel). The book is based on the Siggraph 2013 “Multithreading and VFX” course notes.

Multithreading for Visual Effects

ACM subscribers can read and see the ACM course notes: PDF,  Mp4Mp4  Mp4 Part 1Mp4 Part 1  Mp4 Part 2Mp4 Part 2  Mp4 Part 3Mp4 Part 3.

Authors

Martin Watt

Martin Watt (click image for more information)

Erwin Coumans

Erwin Coumans (click image for more information)

Ron Henderson

Ron Henderson (click to view more information)

James Reinders

James Reinders (click to view more information)

Expect lots of eyecandy at the show!

Emerging Technologies video

Share this:

  • Twitter

Filed Under: News, News, News, OpenCL, Xeon Phi Tagged With: Intel Xeon Phi, OpenCL, OpenMP

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Tell us you were here

Recent Posts

Farewell to a Familiar HPC Friend

May 27, 2020 By Rob Farber Leave a Comment

TechEnablement Blog Sunset or Sunrise?

February 12, 2020 By admin Leave a Comment

The cornerstone is laid – NVIDIA acquires ARM

September 13, 2020 By Rob Farber Leave a Comment

Third-Party Use Cases Illustrate the Success of CPU-based Visualization

April 14, 2018 By admin Leave a Comment

More Tutorials

Learn how to program IBM’s ‘Deep-Learning’ SyNAPSE chip

February 5, 2016 By Rob Farber Leave a Comment

Free Intermediate-Level Deep-Learning Course by Google

January 27, 2016 By Rob Farber Leave a Comment

Intel tutorial shows how to view OpenCL assembly code

January 25, 2016 By Rob Farber Leave a Comment

More Posts from this Category

Top Posts & Pages

  • PyFR: A GPU-Accelerated Next-Generation Computational Fluid Dynamics Python Framework
  • Guide to Get Ubuntu 14.10 Running Natively on Nvidia Shield Tablet
  • Face It: AI Gets Personal to Make You Look Better!
  • Excellent x86 Performance! - PGI Accelerator Compilers Add OpenACC Support for x86 Multicore CPUs
  • Inside NVIDIA's Unified Memory: Multi-GPU Limitations and the Need for a cudaMadvise API Call

Archives

© 2023 · techenablement.com