TuningFork: a platform for visualization and analysis of complex real-time systems

Authors:
David F. Bacon;Perry Cheng;David Grove
Affiliations:
IBM Research, Hawthorne, NY;IBM Research, Hawthorne, NY;IBM Research, Hawthorne, NY
Venue:
Companion to the 22nd ACM SIGPLAN conference on Object-oriented programming systems and applications companion
Year:
2007

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Abstract

Debugging the timing behavior of real-time systems is notoriously difficult, and with a new generation of complex systems consisting of tens of millions of lines of code, the difficulty is increasing enormously. We have developed TuningFork, a tool especially designed for visualization and analysis of large-scale real-time systems. TuningFork is capable of recording high-frequency events at sub-microsecond resolution with minimal perturbation. Users can visualize system activity online in real-time and interactively explore the data. Data can be gathered from multiple layers and/or components and synthesized into visualizations that illuminate whole system interactions. Interactive exploration of hypothesis is naturally supported by direct manipulation to quickly build up complex visualizations.