Towards a Component-Based Observation of MPSoC

Prada-Rojas, Carlos; Marangozova-Martin, Vania; Georgiev, Kiril; Méhaut, Jean‐François; Santana, Miguel

doi:10.1109/icppw.2009.76

Cited by 2 publications

(1 citation statement)

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“…Nowadays, the most widely used technique to give insight into the behavior of an embedded application for debugging and optimization purposes is trace analysis [19]. That is, to collect events generated by the system and the application in order to perform a post-mortem analysis of the execution.…”

Section: Introductionmentioning

confidence: 99%

Debugging embedded multimedia application traces through periodic pattern mining

Cueva

Bertaux

Termier

et al. 2012

Proceedings of the Tenth ACM International Conference on Embedded Software

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Increasing complexity in both the software and the underlying hardware, and ever tighter time-to-market pressures are some of the key challenges faced when designing multimedia embedded systems. Optimizing the debugging phase can help to reduce development time significantly. A powerful approach used extensively during this phase is the analysis of execution traces. However, huge trace volumes make manual trace analysis unmanageable. In such situations, Data Mining can help by automatically discovering interesting patterns in large amounts of data. In this paper, we are interested in discovering periodic behaviors in multimedia applications. Therefore, we propose a new pattern mining approach for automatically discovering all periodic patterns occurring in a multimedia application execution trace.Furthermore, gaps in the periodicity are of special interest since they can correspond to cracks or drop-outs in the stream. Existing periodic pattern definitions are too restrictive regarding the size of the gaps in the periodicity. So, in this paper, we specify a new definition of frequent periodic patterns that removes this limitation. Moreover, in order to simplify the analysis of the set of frequent periodic patterns we propose two complementary approaches: (a) a lossless representation that reduces the size of the set and facilitates its analysis, and (b) a tool to identify pairs of "competitors" where a pattern breaks the periodicity of another pattern. Several experiments were carried out on embedded video and audio decoding application traces, demonstrating that using these new patterns it is possible to identify abnormal behaviors.

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Section: Introductionmentioning

confidence: 99%

Debugging embedded multimedia application traces through periodic pattern mining

Cueva

Bertaux

Termier

et al. 2012

Proceedings of the Tenth ACM International Conference on Embedded Software

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A non intrusive simulation-based trace system to analyse Multiprocessor Systems-on-Chip software

Hedde

Pétrot

2011

2011 22nd IEEE International Symposium on Rapid System Prototyping

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ISBN 978-1-4577-0658-5International audienceMultiprocessor Systems-on-Chip (MPSoC) are sealing in complexity. Most part of the MPSoCs are concerned with this evolution: number of processors, memory hierarchy, interconnect systems. Due to this increase in complexity and the debugging and monitoring difficulties it implies, developing software targeting these platforms is very challenging. The need for methods and tools to assist the development process of the MPSoC software is mandatory. Classical debugging and profiling tools are not suited for use in the MPSoC context, because they lack adaptability and awareness of the parallelism. As virtual prototyping is today widely used in the development of MPSoC software, we advocate the use of simulation platforms for software analysis. We present a trace system that consists in tracing hardware events that are produced by models of multiprocessor platform components. The component models are modified in a non-intrusive way so that their behavior in simulation is not modified. Using this trace results allows to run precise analysis like data races detection targeting the software executed on the platform

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Towards a Component-Based Observation of MPSoC

Cited by 2 publications

References 8 publications

Debugging embedded multimedia application traces through periodic pattern mining

Debugging embedded multimedia application traces through periodic pattern mining

A non intrusive simulation-based trace system to analyse Multiprocessor Systems-on-Chip software

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