Dynamic instrumentation of large-scale MPI and OpenMP applications
C. Thiffault, Michael Voss, S.T. Healey, Seon Wook Kim
Abstract
C. Thiffault, Michael Voss, S.T. Healey, Seon Wook Kim
Abstract
In recent years, software infrastructures for the run-time instrumentation of programs have begun to emerge. The paper presents and evaluates prototypes of dynamic instrumentation and dynamic control of instrumentation for parallel mixed MPI/OpenMP applications. An overview of the technology behind these approaches is presented. Prototypes of dynamic instrumentation and dynamic control of instrumentation for use with the Vampir/Guide View (VGV) toolset (GmbH. Pallas, 2002) are discussed. Instrumentation evaluations using the ASCI kernel benchmarks are used for proof of concept on a cluster of SMPs. The results demonstrate that a mix of dynamic instrumentation and dynamic control of instrumentation can be an effective performance analysis alternative to the traditional static instrumentation of applications.
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In recent years, software infrastructures for the run-time instrumentation of programs have begun to emerge. The paper presents and evaluates prototypes of dynamic instrumentation and dynamic control of instrumentation for parallel mixed MPI/OpenMP applications. An overview of the technology behind these approaches is presented. Prototypes of dynamic instrumentation and dynamic control of instrumentation for use with the Vampir/Guide View (VGV) toolset (GmbH. Pallas, 2002) are discussed. Instrumentation evaluations using the ASCI kernel benchmarks are used for proof of concept on a cluster of SMPs. The results demonstrate that a mix of dynamic instrumentation and dynamic control of instrumentation can be an effective performance analysis alternative to the traditional static instrumentation of applications.
Key concepts: Instrumentation (computer programming), Computer science, Operating system