Hardware

Performance Analysis of Reconfigurations in Adaptive Real-Time Streaming Applications

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Executive Summary

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

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