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2017 GTC San Jose

S7393 - Maximizing GPU Throughput Across Multiple Streams - Tips and Tricks

Session Speakers
Session Description

Efficiently utilizing one or more GPUs involves finding the right balance in three areas of CUDA programming: data movement, hardware architecture, and multi-level parallelism. CUDA Streams can be a powerful way to increase processor throughput if you can manage them properly. We'll go through some use case examples, synchronization pitfalls, and profiler cases to help identify ways to speed up your application.


Additional Session Information
Intermediate
Talk
HPC and Supercomputing Performance Optimization Tools and Libraries
25 minutes
Session Schedule