Unified Communication Optimization Strategies for Sparse Triangular Solver on CPU and GPU Clusters

This paper presents a unified communication optimization frame-work for sparse triangular solve (SpTRSV) algorithms on CPU and GPU clusters. The framework builds upon a 3D communication-avoiding (CA) layout of P_{x}\times P_{y}\times P_{z} processes that divides a sparse matrix into P_{z} submatrice...

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Vydané v:	International Conference for High Performance Computing, Networking, Storage and Analysis (Online) s. 1 - 15
Hlavní autori:	Liu, Yang, Ding, Nan, Sao, Piyush, Williams, Samuel, Li, Xiaoye Sherry
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 11.11.2023
Predmet:	Clustering algorithms communication optimization communication-avoiding algorithm Graphics processing units High performance computing Layout NVSH-MEM Parallel processing Scalability sparse matrix SpTRSV supernodal method Three-dimensional displays triangular solve
ISSN:	2167-4337
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