A GPU-Accelerated Structurally-Symmetric Sparse Multifrontal Solver
Conference
·
OSTI ID:1605252
- Univ. of Maryland, College Park, MD (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
In this poster, a GPU-accelerated sparse multifrontal solver for structurally symmetric matrices is described. The implementation is tested on the Summit supercomputer against the current version, which is parallelized via MPI and OpenMP on CPUs. The GPU-accelerated implementation achieves significant speedup from the original code.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- DOE Contract Number:
- AC02-05CH11231
- OSTI ID:
- 1605252
- Country of Publication:
- United States
- Language:
- English
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