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Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling

Thomas Xu, Jonne Pohjankukka, Paavo Nevalainen, Ville Leppänen, Tapio Pahikkala, Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling. In: Pascal Lorenz, Leszek Maciaszek (Eds.), Proceedings of the 10th International Conference on Software Engineering and Applications, 443–449, SciTePress, 2015.

http://dx.doi.org/10.5220/0005553604430449

Abstract:

We study the traffic characteristics of parallel and high performance computing applications in this paper. Applications that utilize multiple cores are more and more common nowadays due to the emergence of multicore processors. However the design nature of single-threaded applications and multi-threaded applications can vary significantly. Furthermore the on-chip communication profile of multicore systems should be analysed and modelled for characterization and simulation purposes. We investigate several applications running on a full system simulation environment. The on-chip communication traces are gathered and analysed. We study the detailed low-level profiles of these applications. The applications are categorized into different groups according to various parallel programming paradigms. We discover that the trace data follow different parameters of power-law model. The problem is solved by applying least-squares linear regression. We propose a generic synthetic traffic model ba sed on the analysis results.

BibTeX entry:

@INPROCEEDINGS{inpXuPoNeLePa15a,
  title = { Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling},
  booktitle = { Proceedings of the 10th International Conference on Software Engineering and Applications},
  author = {Xu, Thomas and Pohjankukka, Jonne and Nevalainen, Paavo and Leppänen, Ville and Pahikkala, Tapio},
  editor = {Lorenz, Pascal and Maciaszek, Leszek},
  publisher = {SciTePress},
  pages = {443–449},
  year = {2015},
}

Belongs to TUCS Research Unit(s): Algorithmics and Computational Intelligence Group (ACI), Software Development Laboratory (SwDev)

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