Performance Prediction for Large-Scale Heterogeneous Platforms
Ryota Yasudo, Ana Lucia Vărbănescu, José G. F. Coutinho, Wayne W. Luk, Hideharu Amano · 2018
This paper presents an approach for analysing, modelling and predicting application performance of large-scale heterogeneous platforms. Our approach combines analytical and statistical modelling techniques, and aims to: (1) identify and characterise code regions that are the most promising candidates to benefit from acceleration; (2) provide statistical models that predict application behaviour for unobserved inputs; and (3) predict performance gain with different system architectures.