White-Box Benchmarking
White-Box Benchmarking
Structural performance analysis of the NAS parallel benchmarks is used to time code sections and specific classes of activity, such as communication or data movements. This technique is called whitebox benchmarking because, similarly to white-box methodologies used in program testing, the programs are not treated as black boxes. The timing methodology is portable, which is indispensable to make comparative benchmarking across different computer systems. A combination of conditional compilation and code instrumentation is used to measure execution time related to different aspects of application performance. This benchmarking methodology is proposed to help understand parallel application behaviour on distributed-memory parallel platforms.
220–223
Hernandez, E
b819d935-59ce-4216-ad07-8bfb6a431510
Hey, A J G
f4e293d1-493d-4a14-9c89-9be45872531e
September 1998
Hernandez, E
b819d935-59ce-4216-ad07-8bfb6a431510
Hey, A J G
f4e293d1-493d-4a14-9c89-9be45872531e
Hernandez, E and Hey, A J G
(1998)
White-Box Benchmarking.
In Euro-Par’98 Parallel Processing. Euro-Par 1998.
vol. 1470,
Springer.
.
(doi:10.1007/BFb0057856).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Structural performance analysis of the NAS parallel benchmarks is used to time code sections and specific classes of activity, such as communication or data movements. This technique is called whitebox benchmarking because, similarly to white-box methodologies used in program testing, the programs are not treated as black boxes. The timing methodology is portable, which is indispensable to make comparative benchmarking across different computer systems. A combination of conditional compilation and code instrumentation is used to measure execution time related to different aspects of application performance. This benchmarking methodology is proposed to help understand parallel application behaviour on distributed-memory parallel platforms.
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Published date: September 1998
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Address: Berlin
Organisations:
Electronics & Computer Science
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Local EPrints ID: 252936
URI: http://eprints.soton.ac.uk/id/eprint/252936
PURE UUID: 117b4afd-8169-4ee9-8175-19441f1cdb82
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Date deposited: 31 Mar 2000
Last modified: 16 Mar 2024 22:45
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Author:
E Hernandez
Author:
A J G Hey
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