The P-SOCRATES Timing Analysis Methodology for Parallel Real-Time Applications Deployed on Many-Core Platforms

Nelis, Vincent; Yomsi, Patrick Meumeu; Pinho, Luís Miguel

doi:10.4230/OASIcs.WCET.2017.10

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Document Identifiers

DOI: 10.4230/OASIcs.WCET.2017.10
URN: urn:nbn:de:0030-drops-73120

Author Details

Vincent Nelis

Patrick Meumeu Yomsi

Luís Miguel Pinho

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Vincent Nelis, Patrick Meumeu Yomsi, and Luís Miguel Pinho. The P-SOCRATES Timing Analysis Methodology for Parallel Real-Time Applications Deployed on Many-Core Platforms. In 17th International Workshop on Worst-Case Execution Time Analysis (WCET 2017). Open Access Series in Informatics (OASIcs), Volume 57, pp. 10:1-10:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
https://doi.org/10.4230/OASIcs.WCET.2017.10

Abstract

This paper presents the timing analysis methodology developed in the European project P-SOCRATES (Parallel Software Framework for Time-Critical Many-core Systems). This timing analysis methodology is defined for parallel applications that must satisfy both performance and real-time requirements and are executed on modern many-core processor architectures. We discuss the motivation and objectives of the project, the timing analysis flow that we proposed, the tool that has been developed to automatize it, and finally we report on some of the preliminary results that we have obtained when applying this methodology to the three application use-cases of the project.

Keywords

Timing analysis
many-core platform

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References

P-SOCRATES Consortium. UpScale-sdk. http://www.upscale-sdk.com/. last access 30 Novembre 2016.
Kalray Corporation. Kalray. http://www.kalrayinc.com. last access 8 April 2015.
José Carlos Fonseca, Vincent Nélis, Gurulingesh Raravi, and Luís Miguel Pinho. A multi-DAG Model for Real-time Parallel Applications with Conditional Execution. In 30th Annual ACM Symposium on Applied Computing, pages 1925-1932, Salamanca, Spain, 2015.
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