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DAC
2011
ACM

Supervised design space exploration by compositional approximation of Pareto sets

8 years 7 months ago
Supervised design space exploration by compositional approximation of Pareto sets
Technology scaling allows the integration of billions of transistors on the same die but CAD tools struggle in keeping up with the increasing design complexity. Design productivity for multi-core SoCs increasingly depends on creating and maintaining reusable components and hierarchically combining them to form larger composite cores. Characterizing such composite cores with respect to their power/performance tradeoffs is critical for design reuse across various products and relies heavily on synthesis tools. We present CAPS, an online adaptive algorithm that efficiently explores the design space of any given core and returns an accurate characterization of its implementation tradeoffs in terms of an approximate Pareto set. It does so by supervising the order of the time-consuming logic-synthesis runs on the core’s components. Our algorithm can provably achieve the desired precision on the approximation in the shortest possible time, without having any a-priori information on any co...
Hung-Yi Liu, Ilias Diakonikolas, Michele Petracca,
Added 18 Dec 2011
Updated 18 Dec 2011
Type Journal
Year 2011
Where DAC
Authors Hung-Yi Liu, Ilias Diakonikolas, Michele Petracca, Luca P. Carloni
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