Performance evaluation of multicore systems: from traffic analysis to latency predictions (embedded tutorial)

  • Authors:
  • Zhiliang Qian;Paul Bogdan;Chi-Ying Tsui;Radu Marculescu

  • Affiliations:
  • Hong Kong University of Science and Technology, Hong Kong;University of Southern California, Los Angeles;Hong Kong University of Science and Technology, Hong Kong;Carnegie Mellon University, Pittsburgh

  • Venue:
  • Proceedings of the International Conference on Computer-Aided Design
  • Year:
  • 2013

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Abstract

As technology scaling down allows multiple processing components to be integrated on a single chip, the modern computing systems led to the advent of Multiprocessor System-on-Chip (MPSoC) and Chip Multiprocessor (CMP) design. Network-on-Chips (NoCs) have been proposed as a promising solution to tackle the complex on-chip communication problems on these multicore platforms. In order to optimize the NoC-based multicore system design, it is essential to evaluate the NoC performance with respect to numerous configurations in a large design space. Taking the traffic characteristics into account and using an appropriate latency model become crucially important to provide an accurate and fast evaluation. In this tutorial, we survey the current progresses in these aspects. We first review the NoC workload modeling and traffic analysis techniques. Then, we discuss the mathematical formalisms of evaluating the performance under a given traffic model, for both the average and worst-case latency predictions. Finally, the advantages of combining the analytical and simulation-based techniques are discussed and new attempts for bridging these two approaches are reviewed.