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| Content Provider | ACM Digital Library |
|---|---|
| Author | Sottile, Matthew Dechev, Damian Hendry, Gilbert Dakshinamurthy, Amruth |
| Abstract | The design of high-performance computing architectures requires performance analysis of large-scale parallel applications to derive various parameters concerning hardware design and software development. The process of performance analysis and benchmarking an application can be done in several ways with varying degrees of fidelity. One of the most cost-effective ways is to do a coarse-grained study of large-scale parallel applications through the use of program skeletons. The concept of a "program skeleton" that we discuss in this paper is an abstracted program that is derived from a larger program where source code that is determined to be irrelevant is removed for the purposes of the skeleton. In this work, we develop a semi-automatic approach for extracting program skeletons based on compiler program analysis. We demonstrate correctness of our skeleton extraction process by comparing details from communication traces, as well as show the performance speedup of using skeletons by running simulations in the SST/macro simulator. |
| Starting Page | 1 |
| Ending Page | 10 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450319201 |
| DOI | 10.1145/2486092.2486094 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-05-19 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Simulation Dependency analysis Static analysis Program skeleton Source-to-source code generation |
| Content Type | Text |
| Resource Type | Article |
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