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GTC ON-DEMAND

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Abstract:
We'll dive deeper into using OpenACC and explore potential solutions that can overcome challenges faced while parallelizing an irregular algorithm, sparse Fast Fourier Transform (sFFT). We'll analyze code characteristics using profilers, discuss optimizations applied, things we did right, things we did wrong, along with roadblocks that we faced and steps taken to overcome them. We'll highlight how to compare data reproducibility between accelerators in heterogeneous platforms, and report on the algorithmic changes from sequential to parallel especially for an irregular code, while using OpenACC. The results will demonstrate how to create a portable, productive, and maintainable codebase without compromising on performance using OpenACC.
We'll dive deeper into using OpenACC and explore potential solutions that can overcome challenges faced while parallelizing an irregular algorithm, sparse Fast Fourier Transform (sFFT). We'll analyze code characteristics using profilers, discuss optimizations applied, things we did right, things we did wrong, along with roadblocks that we faced and steps taken to overcome them. We'll highlight how to compare data reproducibility between accelerators in heterogeneous platforms, and report on the algorithmic changes from sequential to parallel especially for an irregular code, while using OpenACC. The results will demonstrate how to create a portable, productive, and maintainable codebase without compromising on performance using OpenACC.  Back
 
Topics:
Programming Languages, Algorithms & Numerical Techniques
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7478
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