Performance Curves for better Performance Predictions of Parallel Applications in Multicore Environments

<br> Model-based performance prediction for parallel applications on architectural models suffers from significant inaccuracies. <br> A major reason is that current model-based performance prediction approaches consider CPU speed as a single metric for multicore performance. Thus, in this paper, we investigate performance-influencing factors for multicore environments, execute extensive experiments to determine their impact on the performance, and extract performance curves for characteristic behaviours. As a result, we present a set of performance curves to software engineers which enables them to increase the performance prediction power in an easy to use manner. <br> Further, we evaluate the approach using 13 SPEC Benchmarks and could show that our approach reduces the prediction error by up to 60% and increases the accuracy by up to 98% for certain scenarios.