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GLVLSI
2003
IEEE

A system-level methodology for fast multi-objective design space exploration

12 years 2 months ago
A system-level methodology for fast multi-objective design space exploration
In this paper, we address the problem of the efficient exploration of the architectural design space for parameterized systems. Since the design space is multi-objective, our aim is to find all the Pareto-optimal configurations that represent the best design trade-offs by varying the architectural parameters of the target system. In particular, the paper proposes a Design Space Exploration (DSE) framework based on a random search algorithm that has been tuned to efficiently derive Pareto-optimal curves. The reported design space exploration results have shown a reduction of the simulation time of up to two orders of magnitude with respect to full search strategy, while maintaining an average accuracy within 3%. Categories and Subject Descriptors C.3 [Special-Purpose and Application-Based Systems]: Embedded Systems General Terms Design, Performance Keywords Design Space Exploration, Low-Power Design, Embedded Systems, System-Level Methodologies
Gianluca Palermo, Cristina Silvano, S. Valsecchi,
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where GLVLSI
Authors Gianluca Palermo, Cristina Silvano, S. Valsecchi, Vittorio Zaccaria
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