Scientific Computing Acceleration
Scientific Computing Acceleration is a hardware acceleration technique that specifically optimizes computational performance in scientific simulations and numerical analysis workloads through specialized architectures or algorithms.
384
Publications
21.2K
Citations
1.7K
Authors
436
Institutions
Publications per year
2017–2026
110
Parents
384
SPIRAL: Code Generation for DSP Transforms
Markus Püschel, José M. F. Moura, Jeremy Johnson et al. · Proceedings of the IEEE · 2005 · 829 citations
Numerical Recipes in Fortran: The Art of Scientific Computing.
W. G., William H. Press, Saul A. Teukolsky et al. · Mathematics of Computation · 1994 · 762 citations
BEOWULF: A Parallel Workstation for Scientific Computation.
Thomas Sterling, Daniel Savarese, Donald Becker et al. · 1995 · 597 citations
1–5 of 384
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436

Oak Ridge National Laboratory
Oak Ridge, United States
11 h-index
27 publications
1.8K citations
Argonne National Laboratory
Lemont, United States
11 h-index
31 publications
2.1K citations
University of Southern California
Los Angeles, United States
11 h-index
29 publications
1.4K citations
University of Tennessee at Knoxville
Knoxville, United States
10 h-index
32 publications
3.8K citations
Los Alamos National Laboratory
Los Alamos, United States
10 h-index
32 publications
1.6K citations

Lawrence Livermore National Laboratory
Livermore, United States
9 h-index
24 publications
1.5K citations

National University of Defense Technology
Changsha, China
9 h-index
50 publications
1.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
23 publications
3.8K citations
1–8 of 436
10 publications · 188 citations
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Repository · 11 publications · 329 citations
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7 publications · 288 citations
7
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MCOM · 7 publications · 1.1K citations
7
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5 publications · 279 citations
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