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Open Access Publications from the University of California

A GPU-Accelerated Structurally-Symmetric Sparse Multifrontal Solver


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.

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