Using a version of the GEM5 simulator which reads binary text files as input schedules, a genetic algorithm was implemented to explore the search space of possible schedules on two different benchmarks. The goal is to understand the optimisation space and find a fast schedule through search techniques.
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Genetic algorithm to explore the scheduling optimisation space for benchmarks running on the GEM5 simulator
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