Distributed-Memory Sparse Kernels for Machine Learning

Sampled Dense Times Dense Matrix Multiplication (SDDMM) and Sparse Times Dense Matrix Multiplication (SpMM) appear in diverse settings, such as collaborative filtering, document clustering, and graph embedding. Frequently, the SDDMM output becomes the input sparse matrix for a sub-sequent SpMM opera...

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Vydané v:	Proceedings - IEEE International Parallel and Distributed Processing Symposium s. 47 - 58
Hlavní autori:	Bharadwaj, Vivek, Buluc, Aydin, Demmel, James
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2022
Predmet:	Collaborative filtering Communication Avoiding Algorithms Costs FusedMM Inference algorithms Layout Machine learning Machine learning algorithms Runtime SDDMM SpMM
ISSN:	1530-2075
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