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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Bibliographic Details

Published in:	Proceedings - IEEE International Parallel and Distributed Processing Symposium pp. 47 - 58
Main Authors:	Bharadwaj, Vivek, Buluc, Aydin, Demmel, James
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2022
Subjects:	Collaborative filtering Communication Avoiding Algorithms Costs FusedMM Inference algorithms Layout Machine learning Machine learning algorithms Runtime SDDMM SpMM
ISSN:	1530-2075
Online Access:	Get full text
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