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| Content Provider | ACM Digital Library |
|---|---|
| Author | Wu, Qinghong McElvain, Kenneth S. |
| Abstract | Good FPGA placement is crucial to obtain the best Quality of Results (QoR) from FPGA hardware. Although many published global placement techniques place objects in a continuous ASIC-like environment, FPGAs are discrete in nature, and a continuous algorithm cannot always achieve superior QoR by itself. Therefore, discrete FPGA-specific detail placement algorithms are used to improve the global placement results. Unfortunately, most of these detail placement algorithms do not have a global view. This paper presents a discrete "middle" placer that fills the gap between the two placement steps. It works like simulated annealing, but leverages various acceleration techniques. It does not pay the runtime penalty typical of simulated annealing solutions. Experiments show that with this placer, final QoR is significantly better than with the global-detail placer approach. |
| Starting Page | 115 |
| Ending Page | 118 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450311557 |
| DOI | 10.1145/2145694.2145713 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-02-22 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Field-programmable gate array (fpga) Dynamic window Placement Computer-aided design (cad) Simulated annealing Individual cell temperature Window masking |
| Content Type | Text |
| Resource Type | Article |
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