2023
DOI: 10.1007/s42514-023-00157-9
|View full text |Cite
|
Sign up to set email alerts
|

Editorial for the special issue on architecture, algorithms and applications of high performance sparse matrix computations

Abstract: Sparse matrix operations are widely used in computational science and engineering applications such as quantum chemistry and finite element analysis, as well as modern machine learning scenarios such as social network and compressed deep neural networks. The University of California, Berkeley in the famous article 'A View of the Parallel Computing Landscape', Asanovic et al. ( 2009) listed sparse matrix computations as one of the most important parallel computing patterns. In recent decades, how to use massive… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 10 publications
(5 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?