2004•Unpublished venueRequires access

Dynamic instrumentation of large-scale MPI and OpenMP applications

C. Thiffault, Michael Voss, S.T. Healey, Seon Wook Kim

Open publisher page 7 citations

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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What this paper is about

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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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Instrumentation (computer programming), Computer science, Operating system

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