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dc.contributor.authorPyla, Harien_US
dc.contributor.authorRamesh, Bharathen_US
dc.contributor.authorRibbens, Calvin J.en_US
dc.contributor.authorVaradarajan, Srinidhien_US
dc.date.accessioned2013-06-19T14:35:49Z
dc.date.available2013-06-19T14:35:49Z
dc.date.issued2009-02-01
dc.identifierhttp://eprints.cs.vt.edu/archive/00001063/en_US
dc.identifier.urihttp://hdl.handle.net/10919/20028
dc.description.abstractAs supercomputers continue to grow in scale and capabilities, it is becoming increasingly difficult to isolate processor and system level causes of performance degradation. Over the last several years, a significant number of performance analysis and monitoring tools have been built/proposed. However, these tools suffer from several important shortcomings, particularly in distributed environments. In this paper we present ScALPEL, a Scalable Adaptive Lightweight Performance Evaluation Library for application performance monitoring at the functional level. Our approach provides several distinct advantages. First, ScALPEL is portable across a wide variety of architectures, and its ability to selectively monitor functions presents low run-time overhead, enabling its use for large-scale production applications. Second, it is run-time configurable, enabling both dynamic selection of functions to profile as well as events of interest on a per function basis. Third, our approach is transparent in that it requires no source code modifications. Finally, ScALPEL is implemented as a pluggable unit by reusing existing performance monitoring frameworks such as Perfmon and PAPI and extending them to support both sequential and MPI applications.en_US
dc.format.mimetypeapplication/pdfen_US
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen_US
dc.relation.ispartofComputer Science Technical Reportsen_US
dc.subjectParallel computationen_US
dc.subjectDistributed computingen_US
dc.titleScALPEL: A Scalable Adaptive Lightweight Performance Evaluation Library for application performance monitoringen_US
dc.typeTechnical reporten_US
dc.contributor.departmentComputer Scienceen_US
dc.identifier.trnumberTR-09-03en_US
dc.type.dcmitypeTexten_US
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00001063/01/CORR_2009.pdf


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