Ray S. Chen

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The majority of auto-tuning research in HPC to date has focused on improving the performance of a single objective function. More recently, interest has grown in optimizing multiple objective functions simultaneously, for example balancing the trade-off between execution time and energy consumption. Evolutionary algorithms for multi-objective optimization(More)
Application auto-tuning has produced excellent results in a wide range of computing domains. Yet adapting an application to use this technology remains a predominately manual and labor intensive process. This paper explores first steps towards reducing adoption cost by focusing on two tasks: parameter identification and range selection. We show how these(More)
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