Referenced Items are not available for this document.
On large-scale multiprocessors, access to common memory is one of the key performance limiting factors. The shared-memory performance depends not only on the characteristics of the memory hierarchy itself, but also upon the characteristics of the memory address streams and the interaction between the two. We present a technique for multiprocessor workload construction and a family of artificial kernels, called MAD-kernels, to systematically investigate the behavior of the memory hierarchy. The measured performance is independent of any particular application or algorithm. The proposed methodology is demonstrated on two commercial shared-memory systems
Published in:
Parallel and Distributed Systems, IEEE Transactions on
(Volume:7
,
Issue:
2
)
Date of Publication: Feb 1996
- Page(s):
- 207 - 217
- ISSN :
- 1045-9219
- INSPEC Accession Number:
- 5229607
- Digital Object Identifier :
- 10.1109/71.485509
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Feb 1996
- Sponsored by :
- IEEE Computer Society
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