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

• Type: Conference
• Year: 2003
• Where: GLVLSI
• Authors: Gianluca Palermo, Cristina Silvano, S. Valsecchi, Vittorio Zaccaria
• Keywords: Architectural Design Space, Design Space, Design Space Exploration, GLVLSI 2003, VLSI