Predictive design space exploration using genetically programmed response surfaces

Exponential increases in architectural design complexity threaten to make traditional processor design optimization techniques intractable. Genetically programmed response surfaces (GPRS) address this challenge by transforming the optimization process from a lengthy series of detailed simulations into the tractable formulation and rapid evaluation of a predictive model. We validate GPRS methodology on realistic processor design spaces and compare it to recently proposed techniques for predictive microarchitectural design space exploration. Categories and Subject Descriptors C.4 [Performance of Systems]: Modeling Techniques General Terms Design, Measurement, Performance Keywords genetic programming, predictive modeling, design space exploration

• Type: Conference
• Year: 2008
• Where: DAC
• Authors: Henry Cook, Kevin Skadron
• Keywords: DAC 2008, Design Automation, Design Optimization Techniques, Design Space Exploration, Predictive Microarchitectural Design