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Heterogeneous Computing Online Course |
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Written by Douglas Andrade
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Saturday, 01 December 2012 00:54 |
Heteronegenous Computing Online Course
Those interested in learning more about heterogeneous computing models (such as OpenCL and CUDA) should definitely take part or at least take a look at the Cousera Heterogeneous Parallel Programming Course, taught by Dr. Wen-mei W. Hwu at University of Illinois.
This is a great opportunity to learn the foundations of the architecture and get acquainted with basic CUDA commands. We at CMSoft will be taking part as well, and we'd be glad to join all of you online to create OpenCL content that goes beyond the programming assignments.
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Intel Xeon Phi Supports OpenCL 1.2 |
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Written by Douglas Andrade
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Tuesday, 13 November 2012 16:53 |
Intel Xeon Phi Supports OpenCL 1.2
Intel Xeon Phi Coprocessor, consisting of various smaller, lower-power Intel cores (as per Intel's own description), will support OpenCL 1.2 programmability (click to read more). It is possible that it will provide unbeatable performance on algorithms that are parallel to a coarser level, provided that the OpenCL programmer can balance the workload correctly.
Correctly exploiting the parallelism of algorithms is still a challenge, as James Reinders, Intel summarizes: "Most applications in the world have not been structured to exploit parallelism. This leaves a wealth of capabilities untapped on nearly every computer system."
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Written by Douglas Andrade
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Sunday, 04 November 2012 00:12 |
Intel Webinar and OpenCL
One of the greatest strengths of OpenCL as a heterogeneous programming tool is its capability to target multiple devices. While it's normal to associate OpenCL, CUDA and massive parallel processing with GPUs, there are tasks which have coarser parallelism and can be better handled by CPUs.
In this upcoming Intel webinar they promise to demonstrate how to use the computing power of Intel hardware using OpenCL. This could be very useful if they discuss which types of algorithms are best suited for OpenCL targeting GPUs, OpenCL targeting CPUs and multithreading for CPUs with work stealing (like Microsoft's Parallel.For or Intel's own Silk developed at MIT).
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Written by Douglas Andrade
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Saturday, 20 October 2012 10:34 |
OpenCL Videos from AFDS
AMD Fusion Developer Summit talks about OpenCL and heterogeneous computing are now available. Check out the videos if you want to know more about how OpenCL is being used to accelerate computer vision, linear algebra and for an overview of some debugging and profiling tools.
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CMSoft at AMD hcInnovators |
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Written by Douglas Andrade
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Monday, 08 October 2012 19:05 |
CMSoft at AMD hcInnovators
We are proud to report that our work with OpenCL GL interop and simulation of heat transfer was recognized by the prestigious AMD Developer Central hcInnovators as relevant work in the field of heterogeneous computing.
Read our interview at AMD hcInnovator Spotlight.
Watch our video tutorial about Heat Transfer simulation:
Go to CMSoft Case Study: heat transfer simulation
Watch on YouTube:
01 - Heat transfer simulation demonstration (05:38)
02 - Prerequisites and heat equation overview (07:48)
03 - Discretization of the heat equation (13:59)
04 - Sharing OpenGL textures with OpenCL (12:11)
05 - Mapping intensity to color using OpenCL (08:42)
06 - Simulating the heat equation system (28:49)
07 - Conclusion and wrap-up (06:14)
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Last Updated on Tuesday, 06 November 2012 12:45 |
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