Daniel Mossé

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We introduce a thread characterization method that explores hardware performance counters and machine learning techniques to automate estimating workload execution on heterogeneous processors. We show that our characterization scheme achieves higher accuracy when predicting performance indicators, such as instructions per cycle and last-level cache misses,(More)
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