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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Viana, P. Gordon-Ross, A. Keogh, E. Barros, E. Vahid, F. |
| Copyright Year | 2006 |
| Description | Author affiliation: Pernambuco Fed. Univ., Recife (Viana, P.) |
| Abstract | Numerous variations of configurable caches, having variable parameters like total size, line size, and associativity, have been proposed in commercial microprocessors in recent years. Tuning a configurable cache to a target application has been shown to reduce memory-access power by over 50%. However, searching the configuration space for the best configuration can require much time or power, even when using recent cache tuning heuristics. We sought to determine, for a particular domain of applications, the smallest subset of cache configurations that would still enable effective tuning. For a suite of 34 benchmarks and a cache with 18 possible configurations, we determine through an exhaustive search of all possible subsets, that only 3 or 4 candidate configurations are necessary to support tuning. We introduce a new heuristic, adapted from an efficient and effective heuristic developed for data mining, to quickly determine the best configurations for any sized subset, with near optimal results. We then consider a configurable cache with 17,640 possible configurations and improve our heuristic to include a pre-pruning step, yielding near optimal tuning results. We conclude that only 3 or 4 possible cache configurations are needed to offer a near optimal configuration for every benchmark in our suite - resulting in a 91% reduction in design space exploration time over a state-of-the-art cache tuning heuristic |
| Sponsorship | SiCda EDA Consortium IEEE Circuits & Syst. Soc. IEEE CASS/CANDE CANDE CEDA |
| Starting Page | 695 |
| Ending Page | 700 |
| File Size | 3781002 |
| Page Count | 6 |
| File Format | |
| ISBN | 1595933816 |
| ISSN | 0738100X |
| DOI | 10.1109/DAC.2006.229310 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-07-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Microprocessors Performance analysis Random access memory Prefetching Data mining Space exploration Process design Registers Algorithm design and analysis Operating systems low energy Algorithms Configurable cache tuning cache optimization |
| Content Type | Text |
| Resource Type | Article |
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