Performance Estimation for Exascale Reconfigurable Dataflow Platforms

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

doi:10.1109/FPT.2018.00062

Performance Estimation for Exascale Reconfigurable Dataflow Platforms

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

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	Proceedings - 2018 International Conference on Field-Programmable Technology, FPT 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	317-320
Number of pages	4
ISBN (Electronic)	9781728102139
DOIs	https://doi.org/10.1109/FPT.2018.00062
Publication status	Published - 2018 Dec
Event	17th International Conference on Field-Programmable Technology, FPT 2018 - Naha, Okinawa, Japan Duration: 2018 Dec 10 → 2018 Dec 14

Publication series

Name	Proceedings - 2018 International Conference on Field-Programmable Technology, FPT 2018

Conference

Conference	17th International Conference on Field-Programmable Technology, FPT 2018
Country	Japan
City	Naha, Okinawa
Period	18/12/10 → 18/12/14

Keywords

FPGAs
Performance modelling
exascale computing
heterogeneous systems
reconfigurable platforms

ASJC Scopus subject areas

Software
Computer Science Applications
Hardware and Architecture

Access to Document

10.1109/FPT.2018.00062

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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

Performance Estimation for Exascale Reconfigurable Dataflow Platforms. / Yasudo, Ryota; Coutinho, Jose; Varbanescu, Ana; Luk, Wayne; Amano, Hideharu; Becker, Tobias.

Proceedings - 2018 International Conference on Field-Programmable Technology, FPT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 317-320 8742283 (Proceedings - 2018 International Conference on Field-Programmable Technology, FPT 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 8742283, Proceedings - 2018 International Conference on Field-Programmable Technology, FPT 2018, Institute of Electrical and Electronics Engineers Inc., pp. 317-320, 17th International Conference on Field-Programmable Technology, FPT 2018, Naha, Okinawa, Japan, 18/12/10. https://doi.org/10.1109/FPT.2018.00062

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

Yasudo, Ryota ; Coutinho, Jose ; Varbanescu, Ana ; Luk, Wayne ; Amano, Hideharu ; Becker, Tobias. / Performance Estimation for Exascale Reconfigurable Dataflow Platforms. Proceedings - 2018 International Conference on Field-Programmable Technology, FPT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 317-320 (Proceedings - 2018 International Conference on Field-Programmable Technology, FPT 2018).

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