Performance Estimation for Exascale Reconfigurable Dataflow Platforms

Ryota Yasudo, Jose Coutinho, Ana Varbanescu, Wayne Luk, Hideharu Amano, Tobias Becker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The next generation high-performance computing platforms will need to support exascale computing. A promising path in achieving exascale is to embrace heterogeneity and specialised computing in the form of reconfigurable accelerators. However, assessing the feasibility of heterogeneous exascale systems requires fast and accurate performance prediction. This paper proposes PERKS, a novel performance estimation frame-work for reconfigurable dataflow platforms (RDPs). PERKS uses machine and application parameters to build an analytical model for predicting the performance of multi-Accelerator systems. Moreover, model calibration is automatic, making the model flexible and usable for different machine configurations and applications. Our experimental results demonstrate that PERKS can predict the performance of current workloads and RDPs with an accuracy above 95%. We also demonstrate how the modelling scales to exascale workloads and exascale platforms.

Original languageEnglish
Title of host publicationProceedings - 2018 International Conference on Field-Programmable Technology, FPT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages317-320
Number of pages4
ISBN (Electronic)9781728102139
DOIs
Publication statusPublished - 2018 Dec 1
Event17th International Conference on Field-Programmable Technology, FPT 2018 - Naha, Okinawa, Japan
Duration: 2018 Dec 102018 Dec 14

Publication series

NameProceedings - 2018 International Conference on Field-Programmable Technology, FPT 2018

Conference

Conference17th International Conference on Field-Programmable Technology, FPT 2018
CountryJapan
CityNaha, Okinawa
Period18/12/1018/12/14

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Keywords

  • exascale computing
  • FPGAs
  • heterogeneous systems
  • Performance modelling
  • reconfigurable platforms

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Hardware and Architecture

Cite this

Yasudo, R., Coutinho, J., Varbanescu, A., Luk, W., Amano, H., & Becker, T. (2018). Performance Estimation for Exascale Reconfigurable Dataflow Platforms. In Proceedings - 2018 International Conference on Field-Programmable Technology, FPT 2018 (pp. 317-320). [8742283] (Proceedings - 2018 International Conference on Field-Programmable Technology, FPT 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FPT.2018.00062