Distributed and heterogeneous tensor–vector contraction algorithms for high performance computing

The tensor–vector contraction (TVC) is the most memory-bound operation of its class and a core component of the higher-order power method (HOPM). This paper brings distributed-memory parallelization to a native TVC algorithm for dense tensors that overall remains oblivious to contraction mode, tenso...

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Veröffentlicht in:	Future generation computer systems Jg. 166; S. 107698
Hauptverfasser:	Martinez-Ferrer, Pedro J., Yzelman, Albert-Jan, Beltran, Vicenç
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2025
Schlagworte:	Distributed memory GPU High bandwidth memory Mixed precision Task-based parallelization Tensor contraction Distributed memory Tensor contraction Task-based parallelization Mixed precision GPU High bandwidth memory
ISSN:	0167-739X
Online-Zugang:	Volltext
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