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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bright, M.S. Arslan, T. |
| Copyright Year | 1997 |
| Abstract | This paper presents a new tool for the synthesis of low-power VLSI designs, specifically, those designs targeting digital signal processing applications. The synthesis tool genetic algorithm for low-power synthesis (GALOPS) uses a genetic algorithm to apply power-reducing transformations to high-level signal-processing designs, producing designs that satisfy power requirements as well as timing and area constraints. GALOPS uses problem-specific genetic operators that are specifically tailored to incorporate VLSI-based digital signal processing design knowledge. A number of signal-processing benchmarks are used to facilitate the analysis of low-power design tools, and to aid in the comparison of results. Results demonstrate that GALOPS achieves significant power reductions in the presented benchmark designs. In addition, GALOPS produces a family of unique solutions for each design, all of which satisfy the multiple design objectives, providing flexibility to the VLSI designer. |
| Starting Page | 27 |
| Ending Page | 40 |
| Page Count | 14 |
| File Size | 210103 |
| File Format | |
| ISSN | 1089778X |
| Volume Number | 5 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-02-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Digital signal processing Genetic algorithms Very large scale integration Signal design Signal synthesis Algorithm design and analysis Circuit synthesis Speech synthesis High level synthesis Timing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Computational Theory and Mathematics Software |
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