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 trace. 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 information, which drastically reduces the size of the trace file.
CitationFreitag, F; Caubet, J; Labarta, J. A trace-scaling agent for parallel application tracing. A: ICTAI 2002, p. 494-499.
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