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2019 GTC San Jose

S9626 - Optimizing Large Reductions in BerkeleyGW with CUDA, OpenACC, OpenMP 4.5 and Kokkos

Session Speakers
Session Description

Learn how to optimize large complex-number reductions in material science code BerkeleyGW on NVIDIA GPUs. Our talk will showcase two BerkeleyGW kernels implemented with four frameworks — CUDA, OpenACC, OpenMP 4.5, and Kokkos. We'll share optimization techniques used to achieve decent performance across all four implementations. We'll also report on the status of OpenACC and OpenMP 4.5 compilers and compare the performance portability capabilities of OpenACC, OpenMP 4.5, and Kokkos.


Additional Information
Performance Optimization
Performance Optimization Tools/Libraries
Government / National Labs
Intermediate technical
Talk
50 minutes
Session Schedule