Selective instrumentation and monitoring

This paper presents the design and implementation of a monitoring environment for parallel applications. The focus of our work is on selective monitoring. The amount of runtime data is reduced by colleting only information required during the search of performance bottlenecks. The programmer can selectively instrument its F95 program via a production quality source-code instrumenter. In addition, he can configure the monitor via the Monitoring Request Interface (MRI). The instrumenter and a first prototype of the monitor were implemented within the EP-Cache project focusing of memory hierarchy analysis