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GTC ON-DEMAND

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Abstract:
Learn how to use the roofline model to analyze the performance of GPU-Accelerated applications. We'll cover the basics of the model and explain how to use it to analyze application performance and track progress. We'll also explain how to use nvprof to automate data collection on GPU-Accelerated systems. Demonstrations will include DOE proxy applications in arithmetic intensity, memory stride, memory coalescing, and thread divergence/prediction, all of which can be captured within the roofline methodology.
Learn how to use the roofline model to analyze the performance of GPU-Accelerated applications. We'll cover the basics of the model and explain how to use it to analyze application performance and track progress. We'll also explain how to use nvprof to automate data collection on GPU-Accelerated systems. Demonstrations will include DOE proxy applications in arithmetic intensity, memory stride, memory coalescing, and thread divergence/prediction, all of which can be captured within the roofline methodology.  Back
 
Topics:
Performance Optimization, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9624
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