Spatial Sampling and Regression Strategies
This new simulation paradigm for microarchitectural design evaluation and optimization counters growing simulation costs stemming from the exponentially increasing size of design spaces. the authors demonstrate how to obtain a more comprehensive understanding of the design space by selectively simul...
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Veröffentlicht in: | IEEE MICRO 2007-05, Vol.27 (3), p.74-93 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext bestellen |
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Zusammenfassung: | This new simulation paradigm for microarchitectural design evaluation and optimization counters growing simulation costs stemming from the exponentially increasing size of design spaces. the authors demonstrate how to obtain a more comprehensive understanding of the design space by selectively simulating a modest number of designs from that space and then more effectively leveraging the simulation data using techniques in statistical inference. |
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ISSN: | 0272-1732 1937-4143 |
DOI: | 10.1109/MM.2007.61 |