A Trace-Scaling Agent for Parallel Application Tracing

Authors:
Felix Freitag;Jordi Caubet;Jesus Labarta
Affiliations:
-;-;-
Venue:
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Year:
2002

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Abstract

Tracing and performance analysis tools are an important component in the development of high performance applications. Tracing parallel programs with current tracing tools, however,easily leads to large trace files with hundreds of Megabytes. The storage, visualization, and analysis of such trace files is often difficult.We propose a trace-scaling agent for tracing parallel applications, which learns the application behavior in runtime and achieves a small, easy to handle trade. The agent dynamically identifies the amount of information needed to capture the application behavior. This knowledge acquired at runtime allows recording only the non-iterative trace iriformation, which drastically reduces the size of the trace file.