Performance Analysis of Reconfigurations in Adaptive Real-Time Streaming Applications

  • Authors:
  • Jun Zhu;Ingo Sander;Axel Jantsch

  • Affiliations:
  • Royal Institute of Technology, Stockholm, Sweden;Royal Institute of Technology, Stockholm, Sweden;Royal Institute of Technology, Stockholm, Sweden

  • Venue:
  • ACM Transactions on Embedded Computing Systems (TECS)
  • Year:
  • 2012

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Abstract

We propose a performance analysis framework for adaptive real-time synchronous data flow streaming applications on runtime reconfigurable FPGAs. As the main contribution, we present a constraint based approach to capture both streaming application execution semantics and the varying design concerns during reconfigurations. With our event models constructed as cumulative functions on data streams, we exploit a novel compile-time analysis framework based on iterative timing phases. Finally, we implement our framework on a public domain constraint solver, and illustrate its capabilities in the analysis of design trade-offs due to reconfigurations with experiments.