Performance Prediction for Large-Scale Heterogeneous Platforms

Ryota Yasudo, Ana L. Varbanescu, Jose G.F. Coutinho, Wayne Luk, Hideharu Amano

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトルProceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018
出版者Institute of Electrical and Electronics Engineers Inc.
ページ数1
ISBN(電子版)9781538655221
DOI
出版物ステータスPublished - 2018 9 7
イベント26th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018 - Boulder, United States
継続期間: 2018 4 292018 5 1

Other

Other26th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018
United States
Boulder
期間18/4/2918/5/1

    フィンガープリント

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Software

これを引用

Yasudo, R., Varbanescu, A. L., Coutinho, J. G. F., Luk, W., & Amano, H. (2018). Performance Prediction for Large-Scale Heterogeneous Platforms. : Proceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018 [8457669] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FCCM.2018.00054