Performance Prediction for Large-Scale Heterogeneous Platforms

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

doi:10.1109/FCCM.2018.00054

Performance Prediction for Large-Scale Heterogeneous Platforms

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

Department of Information and Computer Science

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

Abstract

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.

Original language	English
Title of host publication	Proceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	220
Number of pages	1
ISBN (Electronic)	9781538655221
DOIs	https://doi.org/10.1109/FCCM.2018.00054
Publication status	Published - 2018 Sept 7
Event	26th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018 - Boulder, United States Duration: 2018 Apr 29 → 2018 May 1

Publication series

Name	Proceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018

Other

Other	26th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018
Country/Territory	United States
City	Boulder
Period	18/4/29 → 18/5/1

Keywords

Heterogeneous platforms
Large-scale distributed systems
Performance modelling

ASJC Scopus subject areas

Artificial Intelligence
Hardware and Architecture
Software

Access to Document

10.1109/FCCM.2018.00054

Cite this

Yasudo, R., Varbanescu, A. L., Coutinho, J. G. F., Luk, W., & Amano, H. (2018). Performance Prediction for Large-Scale Heterogeneous Platforms. In Proceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018 (pp. 220). Article 8457669 (Proceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FCCM.2018.00054

Performance Prediction for Large-Scale Heterogeneous Platforms. / Yasudo, Ryota; Varbanescu, Ana L.; Coutinho, Jose G.F. et al.
Proceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 220 8457669 (Proceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018).

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

Yasudo, R, Varbanescu, AL, Coutinho, JGF, Luk, W & Amano, H 2018, Performance Prediction for Large-Scale Heterogeneous Platforms. in Proceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018., 8457669, Proceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018, Institute of Electrical and Electronics Engineers Inc., pp. 220, 26th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018, Boulder, United States, 18/4/29. https://doi.org/10.1109/FCCM.2018.00054

Yasudo R, Varbanescu AL, Coutinho JGF, Luk W, Amano H. Performance Prediction for Large-Scale Heterogeneous Platforms. In Proceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 220. 8457669. (Proceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018). doi: 10.1109/FCCM.2018.00054

Yasudo, Ryota ; Varbanescu, Ana L. ; Coutinho, Jose G.F. et al. / Performance Prediction for Large-Scale Heterogeneous Platforms. Proceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 220 (Proceedings - 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018).

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title = "Performance Prediction for Large-Scale Heterogeneous Platforms",

abstract = "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.",

keywords = "Heterogeneous platforms, Large-scale distributed systems, Performance modelling",

author = "Ryota Yasudo and Varbanescu, {Ana L.} and Coutinho, {Jose G.F.} and Wayne Luk and Hideharu Amano",

note = "Funding Information: Acknowledgment. This work was supported by the EU H2020 Research and Innovation Programme under grant agreement number 671653. Publisher Copyright: {\textcopyright} 2018 IEEE.; 26th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2018 ; Conference date: 29-04-2018 Through 01-05-2018",

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Performance Prediction for Large-Scale Heterogeneous Platforms

Abstract

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Keywords

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