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| Content Provider | ACM Digital Library |
|---|---|
| Author | Henkel, Jörg Vahid, Frank Givargis, Tony |
| Abstract | In this work, we provide a technique for efficiently exploring the configuration space of a parameterized system-on-a-chip (SOC) architecture to find all Pareto-optimal configurations. These configurations represent the range of meaningful power and performance tradeoffs that are obtainable by adjusting parameter values for a fixed application mapped onto the SOC architecture. Our approach extensively prunes the potentially large configuration space by taking advantage of parameter dependencies. We have successfully incorporated our technique into the parameterized SOC tuning environment (Platune) and applied it to a number of applications. |
| Starting Page | 25 |
| Ending Page | 30 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780372492 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2001-11-04 |
| Access Restriction | Subscribed |
| Subject Keyword | Configurable platforms Embedded systems Platform tuning Parameterized architectures System-on-a-chip Low-power system design System-level exploration |
| Content Type | Text |
| Resource Type | Article |
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