RPPM : rapid performance prediction of multithreaded applications on multicore hardware
- Author
- Sander De Pestel (UGent) , Sam Van den Steen (UGent) , Shoaib Akram (UGent) and Lieven Eeckhout (UGent)
- Organization
- Abstract
- This paper proposes RPPM which, based on a microarchitecture-independent profile of a multithreaded application, predicts its performance on a previously unseen multicore platform. RPPM breaks up multithreaded program execution into epochs based on synchronization primitives, and then predicts per-epoch active execution times for each thread and synchronization overhead to arrive at a prediction for overall application performance. RPPM predicts performance within 12 percent on average (27 percent max error) compared to cycle-level simulation. We present a case study to illustrate that RPPM can be used for making accurate multicore design trade-offs early in the design cycle.
- Keywords
- hardware and architecture, modeling, micro-architecture, performance, multi-threaded
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8585865
- MLA
- De Pestel, Sander, et al. “RPPM : Rapid Performance Prediction of Multithreaded Applications on Multicore Hardware.” IEEE COMPUTER ARCHITECTURE LETTERS, vol. 17, no. 2, 2018, pp. 183–86, doi:10.1109/lca.2018.2849983.
- APA
- De Pestel, S., Van den Steen, S., Akram, S., & Eeckhout, L. (2018). RPPM : rapid performance prediction of multithreaded applications on multicore hardware. IEEE COMPUTER ARCHITECTURE LETTERS, 17(2), 183–186. https://doi.org/10.1109/lca.2018.2849983
- Chicago author-date
- De Pestel, Sander, Sam Van den Steen, Shoaib Akram, and Lieven Eeckhout. 2018. “RPPM : Rapid Performance Prediction of Multithreaded Applications on Multicore Hardware.” IEEE COMPUTER ARCHITECTURE LETTERS 17 (2): 183–86. https://doi.org/10.1109/lca.2018.2849983.
- Chicago author-date (all authors)
- De Pestel, Sander, Sam Van den Steen, Shoaib Akram, and Lieven Eeckhout. 2018. “RPPM : Rapid Performance Prediction of Multithreaded Applications on Multicore Hardware.” IEEE COMPUTER ARCHITECTURE LETTERS 17 (2): 183–186. doi:10.1109/lca.2018.2849983.
- Vancouver
- 1.De Pestel S, Van den Steen S, Akram S, Eeckhout L. RPPM : rapid performance prediction of multithreaded applications on multicore hardware. IEEE COMPUTER ARCHITECTURE LETTERS. 2018;17(2):183–6.
- IEEE
- [1]S. De Pestel, S. Van den Steen, S. Akram, and L. Eeckhout, “RPPM : rapid performance prediction of multithreaded applications on multicore hardware,” IEEE COMPUTER ARCHITECTURE LETTERS, vol. 17, no. 2, pp. 183–186, 2018.
@article{8585865,
abstract = {This paper proposes RPPM which, based on a microarchitecture-independent profile of a multithreaded application, predicts its performance on a previously unseen multicore platform. RPPM breaks up multithreaded program execution into epochs based on synchronization primitives, and then predicts per-epoch active execution times for each thread and synchronization overhead to arrive at a prediction for overall application performance. RPPM predicts performance within 12 percent on average (27 percent max error) compared to cycle-level simulation. We present a case study to illustrate that RPPM can be used for making accurate multicore design trade-offs early in the design cycle.},
author = {De Pestel, Sander and Van den Steen, Sam and Akram, Shoaib and Eeckhout, Lieven},
issn = {1556-6056},
journal = {IEEE COMPUTER ARCHITECTURE LETTERS},
keywords = {hardware and architecture,modeling,micro-architecture,performance,multi-threaded},
language = {eng},
number = {2},
pages = {183--186},
title = {RPPM : rapid performance prediction of multithreaded applications on multicore hardware},
url = {http://dx.doi.org/10.1109/lca.2018.2849983},
volume = {17},
year = {2018},
}
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