Abstract
Applications executing on complex computational systems provide a challenge for the development of runtime performance monitoring software. We discuss a computational model, application monitoring, data access models, and profiler functionality. We define data consistency within and across threads as well as across contexts and nodes. We describe the TAU runtime monitoring framework which enables on-demand, low-interference data access to TAU profile data and provides the flexibility to enforce data consistency at the thread, context or node level. We present an example of a Java-based runtime performance monitor utilizing the framework.
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Sheehan, T.J., Malony, A.D., Shende, S.S. (1999). A Runtime Monitoring Framework for the TAU Profiling System. In: Matsuoka, S., Tholburn, M. (eds) Computing in Object-Oriented Parallel Environments. ISCOPE 1999. Lecture Notes in Computer Science, vol 1732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10704054_18
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DOI: https://doi.org/10.1007/10704054_18
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