ARTS: A System-Level Framework for Modeling MPSoC Components and Analysis of their Causality

  • Authors:
  • Shankar Mahadevan;Michael Storgaard;Jan Madsen;Kashif Virk

  • Affiliations:
  • Informatics and Mathematical Modelling (IMM), Technical University of Denmark (DTU), Richard Petersens Plads 2800 Lyngby, Denmark;Informatics and Mathematical Modelling (IMM), Technical University of Denmark (DTU), Richard Petersens Plads 2800 Lyngby, Denmark;Informatics and Mathematical Modelling (IMM), Technical University of Denmark (DTU), Richard Petersens Plads 2800 Lyngby, Denmark;Informatics and Mathematical Modelling (IMM), Technical University of Denmark (DTU), Richard Petersens Plads 2800 Lyngby, Denmark

  • Venue:
  • MASCOTS '05 Proceedings of the 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
  • Year:
  • 2005

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Abstract

Designing complex heterogeneous multiprocessor Systemon- Chip (MPSoC) requires support for modeling and analysis of the different layers i.e. application, operating system (OS) and platform architecture. This paper presents an abstract system-level modeling framework, called ARTS, to support the MPSoC designers in modeling the different layers and understanding their causalities. While others have developed tools for static analysis and modeled limited correlations (processor-memory or processor-communication), our model captures the impact of dynamic and unpredictable OS behaviour on processor, memory and communication performance. In particular, we focus on analyzing the impact of application mapping on the processor and memory utilization taking the on-chip communication latency into account. A case-study of a real-time multimedia application consisting of 114 tasks on a 6-processor platform for a hand-held terminal shows our frameworks co-exploration capabilities.