Intel SDK for OpenCL Applications Webinar Series 2012

Intel hosted a webinar on running OpenCL on Intel Core processor. The webinar I attended this morning (9am, July 11th), is first part of the three-part webinars on this topic. It was well organized and educational and I think the next seminar will be even more useful (since it deals with programming using OpenCL. I took notes during the webinar to get you up to speed in case you want to attend the next two seminars.

* July 18-Writing Efficient Code for OpenCL Applications<http://link.software-dispatch.intel.com/u.d?V4GtisPHZ8Stq7_bNj1hJ=3231> 
* July 25-Creating and Optimizing OpenCL Applications<http://link.software-dispatch.intel.com/u.d?K4GtisPHZ8Stq7_bNj1hS=3241> 

OpenCL: Allows us to swap out loops with kernels for parallel processing.

Introduction: Intel’s 3rd Generation Core Processor.

  • Inter-operability between CPUs and HD Graphics.
  • Device 1: maps to four cores of intel processor (CPUs)
  • Device 2: Intel HD Graphics.
  • Allows access to all compute units available within system (unified compute model – CPU and HD Graphics)
  • Good for multiple socket cpu – if you want to divide the openCL code with underlying memory architecture.
  • Supported on Window7 and Linux.

General Electric’s use of OpenCL

  • GE uses OpenCL for image reconstruction for medical imaging (O(n^3) – O(n^4))
  • Need unified programming model for CPUs and GPUs
  • OpenCL is most flexible (across all CPU and GPUs) – good candidate for unified programming language.
  • Functional Portability: take OpenCL application and run it on multiple hardware platforms and expect it to produce correct results.
  • Performance Portability: functional Portability + Deliver performance close to entitlement performance (10-20%)
  • Partial Portability: functional Portability + only host code tuning is required.
  • Benefits of OpenCL:
    • C like language – low learning curve
    • easy abstraction of host code (developers focus on kernel only)
    • easy platform abstraction (don’t need to decide platform right away.)
    • development resource versatility (suitable for mult. platforms)
  • Uses combination of buffers (image buffers and their customized ones). Image buffers allow them to use unique part of GPU.
  • Awesome chart that compares various programming models:

Image courtesy of Intel SDK for OpenCL Webinar.

Intel OpenCL SDK: interoperable with Intel Media SDK with no copy overhead on Intel HD Graphics.

Intel Media SDK: hardware accelerated video encode/decode and predefined set of pre-processing filters

Thank you UC Berkeley Visual Computing Center for letting me know about this webinar series!

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