An Iterative Benchmark Configuration Method for Quantifying Multi-core Interference

Interference within a multi-core architecture may have several origins. Understanding where interference comes from is mandatory for verification and certification purposes. Unfortunately, the complexity of current architectures makes it difficult to quantify such interference. In this article, a new approach is introduced that enables benchmark configurations to isolate and quantify interference. An experiment with DMA interference is presented and shows a WCET overhead of up to 0.26% at 25 Mbit/s. This experiment was also able to discover and identify interference related to DMA, such as interruptive flow overhead, around 3% for 25 Mbit/s, or packet transmission memory access overhead, around 9% for 25 Mbit/s.

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Publication Details

Journal
ACM SIGAda Ada Letters
Published
2024-12-02
DOI
https://doi.org/10.1145/3706601.3706615
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
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article

An Iterative Benchmark Configuration Method for Quantifying Multi-core Interference

Stéphane Rubini, Gabriel Brusq, Philippe Plasson, L. R. Malac-Allain et al.
ACM SIGAda Ada Letters
Advanced MIMO Systems Optimization
article

An Iterative Benchmark Configuration Method for Quantifying Multi-core Interference

Stéphane Rubini, Gabriel Brusq, Philippe Plasson, L. R. Malac-Allain, Sébastien Levieux, Frank Singhoff, Pierre-Vincent Gouel, Lucas Miné
article en

Abstract

Interference within a multi-core architecture may have several origins. Understanding where interference comes from is mandatory for verification and certification purposes. Unfortunately, the complexity of current architectures makes it difficult to quantify such interference. In this article, a new approach is introduced that enables benchmark configurations to isolate and quantify interference. An experiment with DMA interference is presented and shows a WCET overhead of up to 0.26% at 25 Mbit/s. This experiment was also able to discover and identify interference related to DMA, such as interruptive flow overhead, around 3% for 25 Mbit/s, or packet transmission memory access overhead, around 9% for 25 Mbit/s.

ACM SIGAda Ada LettersVol. 44(1)
Centre National de la Recherche Scientifique (FR), Université de Bretagne Occidentale (FR), Université Paris Cité (FR), Centre National d'Études Spatiales (FR), Observatoire de Paris (FR), Sorbonne Université (FR), Laboratoire d’études spatiales et d’instrumentation en astrophysique (FR), Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance (FR)
Climate action
Openalex Percentile: Top 82%
Advanced MIMO Systems Optimization
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An Iterative Benchmark Configuration Method for Quantifying Multi-core Interference — Stéphane Rubini, Gabriel Brusq, et al. · ACM SIGAda Ada Letters (2024) | TGRS Research Map | TGRS