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Understanding the Memory Consumption of the MiBench Embedded Benchmark

Antoine Blin 1, 2 Cédric Courtaud 1 Julien Sopena 3 Julia Lawall 1 Gilles Muller 1
1 Whisper - Well Honed Infrastructure Software for Programming Environments and Runtimes
LIP6 - Laboratoire d'Informatique de Paris 6, Inria de Paris
2 Technocentre Renault [Guyancourt]
3 Regal - Large-Scale Distributed Systems and Applications
LIP6 - Laboratoire d'Informatique de Paris 6, Inria de Paris
Abstract : Complex embedded systems today commonly involve a mix of real-time and best-effort applications. The recent emergence of small low-cost commodity multi-core processors raises the possibility of running both kinds of applications on a single machine, with virtualization ensuring that the best-effort applications cannot steal CPU cycles from the real-time applications. Nevertheless, memory contention can introduce other sources of delay, that can lead to missed deadlines. In this paper, we analyze the sources of memory consumption for the real-time applications found in the MiBench embedded benchmark suite.
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https://hal.inria.fr/hal-01349421
Contributor : Antoine Blin <>
Submitted on : Wednesday, July 27, 2016 - 2:11:28 PM
Last modification on : Tuesday, January 12, 2021 - 9:42:02 AM

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  • HAL Id : hal-01349421, version 1

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CNRS | UPMC | LIP6 | INRIA | SORBONNE-UNIVERSITE | SU-SCIENCES | SU-TI

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Antoine Blin, Cédric Courtaud, Julien Sopena, Julia Lawall, Gilles Muller. Understanding the Memory Consumption of the MiBench Embedded Benchmark. Netys, May 2016, Marakech, Morocco. ⟨hal-01349421⟩

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