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2019 GTC San Jose

S9347 - Performance Analysis for Large-Scale GPU-Accelerated Applications and DL Frameworks

Session Speakers
Session Description

Get your hands on the latest versions of Score-P and Vampir to profile the execution behavior of your large-scale GPU-Accelerated applications. See how these HPC community tools pick up as other tools (such as NVVP) drop off when your application spans multiple compute nodes. Regardless of whether your application uses CUDA, OpenACC, OpenMP or OpenCL for acceleration, or whether it is written in C, C++, Fortran or Python, you will receive a high-resolution timeline view of all program activity alongside the standard profiles to identify hot spots and avenues for optimization. The novel Python support now also enables performance studies for optimizing the inner workings of deep learning frameworks.


Additional Information
Tools/Libraries
Supercomputing Tools/Libraries
Software
Intermediate technical
Tutorial
1h 20m
Session Schedule