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Article overview
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K-Athena: a performance portable structured grid finite volume magnetohydrodynamics code | | Philipp Grete
; Forrest W. Glines
; Brian W. O'Shea
; | | Date: |
10 May 2019 | | Abstract: | Large scale simulations are a key pillar of modern research and require ever
increasing computational resources. Different novel manycore architectures have
emerged in recent years on the way towards the exascale era. Performance
portability is required to prevent repeated non-trivial refactoring of a code
for different architectures. We combine Athena++, an existing
magnetohydrodynamics (MHD) CPU code, with Kokkos, a performance portable
on-node parallel programming paradigm, into K-Athena to allow efficient
simulations on multiple architectures using a single codebase. We present
profiling and scaling results for different platforms including Intel Skylake
CPUs, Intel Xeon Phis, and NVIDIA GPUs. K-Athena achieves $>10^8$
cell-updates/s on a single V100 GPU for second-order double precision MHD
calculations, and a speedup of 30 on up to 24,576 GPUs on Summit (compared to
172,032 CPU cores), reaching $1.94 imes10^{12}$ total cell-updates/s at 76%
parallel efficiency. Using a roofline analysis we demonstrate that the overall
performance is currently limited by DRAM bandwidth and calculate a performance
portability metric of 83.1%. Finally, we present the strategies used for
implementation and the challenges encountered maximizing performance. This will
provide other research groups with a straightforward approach to prepare their
own codes for the exascale era. K-Athena is available at
this https URL . | | Source: | arXiv, 1905.4341 | | Services: | Forum | Review | PDF | Favorites | |
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