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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lyon, G. Kacker, R. |
| Copyright Year | 1994 |
| Description | Author affiliation: Adv. Syst. Div., Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA (Lyon, G.) |
| Abstract | Code scalability, which is crucial in any parallel system, determines how well parallel code avoids becoming a bottleneck as its host computer is made larger. The scalability of computer code can be estimated by statistically designed experiments that empirically approximate a multivariate Taylor expansion of the code's execution response function. Each suspected code bottleneck corresponds to a first-order term in the expansion, the coefficient for that term indicating how sensitive execution is to changes in the suspect location. However, it is the coefficients for second-order interactions between code segments and the number of processors that are fundamental in discovering which program elements limit parallel speedup. Extending an earlier formulation, a new unified view via these second-order terms yields an informal scaling test of high utility in code development. |
| Starting Page | 54 |
| Ending Page | 60 |
| File Size | 677490 |
| Page Count | 7 |
| File Format | |
| ISBN | 0818658657 |
| DOI | 10.1109/METRIC.1994.344228 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-10-24 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Scalability Testing Yarn State-space methods Delay NIST Statistics Concurrent computing Taylor series High performance computing |
| Content Type | Text |
| Resource Type | Article |
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