E. Kereku and M. Gerndt (Germany)
Automatic Performance Analysis, AMEBA, Selective Monitoring, MRI, ASL, Instrumentation, Simulation
In this paper we present an automatic monitoring system consisting of a monitoring infrastructure and an automatic performance analyzer. The monitoring infrastructure sup ports different monitoring resources (CPU counters, simu lation) and monitors the utilization of cache hierarchies in serial and OpenMP programs. A special feature of our sys tem is the restriction of monitoring to single data structures. Our ASL[2]-based automatic analyzer called AMEBA is able to search for predefined performance bottlenecks in code regions using a provided set of search and refinement strategies.
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