W. K. Anderson

dblp:116/7989 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1999
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 72% Memory systems · 22% Parallel and multicore computing · 6%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › scientific computing systems
computational fluid dynamics
0.011999
Achieving High Sustained Performance in an Unstructured Mesh CFD Application · SC 1999
Memory systems › memory hierarchy
memory hierarchy optimization
0.011999
Achieving High Sustained Performance in an Unstructured Mesh CFD Application · SC 1999
High-performance computing
performance optimization at scale
0.011999
Achieving High Sustained Performance in an Unstructured Mesh CFD Application · SC 1999
High-performance computing
scientific computing systems
0.011999
Achieving High Sustained Performance in an Unstructured Mesh CFD Application · SC 1999
Parallel and multicore computing
parallel programming models
0.011999
Achieving High Sustained Performance in an Unstructured Mesh CFD Application · SC 1999
High-performance computing
unstructured mesh computation
0.011999
Achieving High Sustained Performance in an Unstructured Mesh CFD Application · SC 1999

Methods — techniques the papers use, named apart from their topics

implicit unstructured grid simulation · 0.0data reuse optimization · 0.0
YearPublicationVenuePosition
1999 Achieving High Sustained Performance in an Unstructured Mesh CFD Application
abstract
This paper highlights a three-year project by an interdisciplinary team on a legacy F77 computational fluid dynamics code, with the aim of demonstrating that implicit unstructured grid simulations can execute at rates not far from those of explicit structured grid codes, provided attention is paid to data motion complexity and the reuse of data positioned at the levels of the memory hierarchy closest to the processor, in addition to traditional operation count complexity. The demonstration code is from NASA and the enabling parallel hardware and (freely available) software toolkit are from DOE, but the resulting methodology should be broadly applicable, and the hardware limitations exposed should allow programmers and vendors of parallel platforms to focus with greater encouragement on sparse codes with indirect addressing. This snapshot of ongoing work shows a performance of 15 microseconds per degree of freedom to steady-state convergence of Euler flow on a mesh with 2.8 million vertices using 3072 dual-processor nodes of ASCI Red, corresponding to a sustained floating-point rate of 0.227 Tflop/s.
W. K. Anderson, William Gropp, Dinesh K. Kaushik, David E. Keyes, Barry Smith 0002
SC1