Research
Introducing Instruction-Accurate Simulators for Performance Estimation of Autotuning Workloads
Abstract
This paper introduces a novel interface enabling autotuning workloads, critical for optimizing Machine Learning, to execute efficiently on instruction-accurate simulators rather than scarce target hardware. By training machine learning predictors on simulation