Parallel Matrix Inversion
Parallel Matrix Inversion is a computational method in numerical linear algebra that decomposes the process of computing the inverse of a matrix across multiple processing units to achieve efficiency and scalability through concurrent execution.
357
Publications
16.4K
Citations
703
Authors
306
Institutions
Publications per year
2017–2026
24
357
Parallel and distributed computation
Dimitri P. Bertsekas, John N. Tsitsiklis, Alexander N. Sennikov · 1989 · 1.2K citations
Fast Parallel Matrix Inversion Algorithms
L. Csanky · SIAM Journal on Computing · 1976 · 403 citations
1–5 of 357
703
10
h-index
10
h-index
5
h-index
5
h-index
5
h-index
1–5 of 703
306

Oak Ridge National Laboratory
Oak Ridge, United States
11 h-index
13 publications
411 citations
University of Tennessee at Knoxville
Knoxville, United States
11 h-index
23 publications
598 citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
15 publications
1.1K citations

University of Minnesota
Minneapolis, United States
8 h-index
15 publications
603 citations

Universitat Jaume I
Castellon, Spain
7 h-index
14 publications
503 citations
Loughborough University
Loughborough, United Kingdom
7 h-index
9 publications
229 citations
University of California, Berkeley
Berkeley, United States
6 h-index
10 publications
523 citations

University of Manchester
Manchester, United Kingdom
5 h-index
5 publications
109 citations
1–8 of 306
34 publications · 1.3K citations
19
h-index
18 publications · 1.4K citations
17
h-index
TOMS · 12 publications · 531 citations
11
h-index
10 publications · 607 citations
10
h-index
9 publications · 264 citations
9
h-index
1–5