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| Content Provider | ACM Digital Library |
|---|---|
| Author | Guerra, Lisa Potkonjak, Miodrag Rabaey, Jan |
| Abstract | Optimization at the early stages of design are crucial. However, due to an overwhelming number of design and optimization options, design exploration is often conducted in a qualitative, ad-hoc manner. This paper presents a methodology and interactive environment for guiding the exploration process. A prototype targeting behavioral-level optimization for datapath-intensive ASIC implementations has been developed. The key to the approach is encapsulated knowledge about the various optimizations and a set of techniques to automatically extract the “essence” of a design description. At each stage in the exploration process, the system suggests and ranks potential optimizations, both in terms of immediate and longer-term impact. It also provides evaluations of the design and of the likely affects each optimization will have on metrics like power and performance. In the new approach, the designer is responsible for making the actual optimization selections. However, using the provide guidance, designers can make decisions in a more informed manner, and therefore can explore the design solution space more effectively. The effectiveness of the approach is demonstrated on a number of designs. |
| Starting Page | 309 |
| Ending Page | 314 |
| Page Count | 6 |
| File Format | |
| ISBN | 0897919645 |
| DOI | 10.1145/277044.277134 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1998-05-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Congestion global routing quadratic placement relaxed pins routing models supply-demand |
| Content Type | Text |
| Resource Type | Article |
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