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Using accurate arithmetics to improve numerical reproducibility and stability in parallel applications
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Authors:
Yun He
NERSC Division, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA
Chris H. Q. Ding
NERSC Division, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA
Published in:
· Proceeding
ICS '00
Proceedings of the 14th international conference on Supercomputing
Pages 225-234
ACM
New York, NY
, USA
©2000
table of contents
ISBN:1-58113-270-0
doi>
10.1145/335231.335253
2000 Article
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· Downloads (12 Months): 25
· Downloads (cumulative): 466
· Citation Count: 2
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Tags:
climate models
design
distributed memory architecture
double-double precision arithmetic
earth and atmospheric sciences
measurement
parallelism and concurrency
performance
reliability
reproducibility
self-compensated summation
theory
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