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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wu, H. Park, E. Kaplarevic, M. Zhang, Y. Bolat, M. Li, X. Gao, G.R. |
| Copyright Year | 2007 |
| Description | Author affiliation: Electr. & Comput. Eng. Dept., Delaware Univ., Newark, DE (Wu, H.; Park, E.; Kaplarevic, M.) |
| Abstract | Targeted optimization of program segments can provide an additional program speedup over the highest default optimization level, such as -O3 in GCC. The key challenge is how to automatically search for performance sensitive program segments in a given code, to which a customized set of optimization compiler options could be applied. In this paper we propose a method for automatic detection of performance sensitive program segments based on program segment similarity. First we create a proxy segment template database trained over a set of random input programs. The compiler identifies program segments by correlating them to the pre-build proxy segment templates using the syntax structure and architecture-dependent behavior similarity. We argue that the identified program segments can be custom optimized to improve the overall program performance. The method is evaluated on the Intel XScale PXA255 platform using randomly selected benchmarks. The experimental results show that our method can provide additional speedups over the highest optimization level in GCC 3.3 (-O3) for an arbitrary set of applications. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 190643 |
| Page Count | 8 |
| File Format | |
| ISBN | 1424409098 |
| DOI | 10.1109/IPDPS.2007.370642 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-03-26 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optimizing compilers Program processors Optimization methods Data structures Databases High performance computing Learning systems Kernel |
| Content Type | Text |
| Resource Type | Article |
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