Programming parallel dense matrix factorizations and inversion for new-generation NUMA architectures

We propose a methodology to address the programmability issues derived from the emergence of new-generation shared-memory NUMA architectures. For this purpose, we employ dense matrix factorizations and matrix inversion (DMFI) as a use case, and we target two modern architectures (AMD Rome and Huawei...

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Vydané v:	Journal of parallel and distributed computing Ročník 175; s. 51 - 65
Hlavní autori:	Catalán, Sandra, Igual, Francisco D., Herrero, José R., Rodríguez-Sánchez, Rafael, Quintana-Ortí, Enrique S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.05.2023
Predmet:	Chiplets Dense linear algebra NUMA architectures Portability Shared memory programming NUMA architectures Portability Shared memory programming Chiplets Dense linear algebra
ISSN:	0743-7315, 1096-0848
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