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Multi-grained performance estimation for MPSoC compilers: work-in-progress

Published: 15 October 2017 Publication History

Abstract

Parallelizing compilers are a promising solution to tackle key challenges of MPSoC programming. One fundamental aspect for a profitable parallelization is to estimate the performance of the applications on the target platforms. There is a wide range of state-of-the-art performance estimation techniques, such as, simulation-based, measurement-based, among others. They provide performance estimates typically only at function or basic block granularity. However, MPSoC compilers require performance information at other granularities, such as statement, loop or even arbitrary code blocks. In this paper, we propose a framework to adapt performance information sources to any granularity required by an MPSoC compiler.

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Cited By

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  • (2020)Exact Design Space Exploration Based on Consistent ApproximationsElectronics10.3390/electronics90710579:7(1057)Online publication date: 27-Jun-2020
  • (2018)Software Compilation Techniques for Heterogeneous Embedded Multi-Core SystemsHandbook of Signal Processing Systems10.1007/978-3-319-91734-4_28(1021-1062)Online publication date: 14-Oct-2018

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CASES '17: Proceedings of the 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion
October 2017
51 pages
ISBN:9781450351843
DOI:10.1145/3125501
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2017

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ESWEEK'17
ESWEEK'17: THIRTEENTH EMBEDDED SYSTEM WEEK
October 15 - 20, 2017
Seoul, Republic of Korea

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Overall Acceptance Rate 52 of 230 submissions, 23%

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Cited By

View all
  • (2020)Exact Design Space Exploration Based on Consistent ApproximationsElectronics10.3390/electronics90710579:7(1057)Online publication date: 27-Jun-2020
  • (2018)Software Compilation Techniques for Heterogeneous Embedded Multi-Core SystemsHandbook of Signal Processing Systems10.1007/978-3-319-91734-4_28(1021-1062)Online publication date: 14-Oct-2018

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