Performance Analysis for SVM-Fortran with OPAL

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Název: Performance Analysis for SVM-Fortran with OPAL
Autoři: Forschungszentrum Jülich Gmbh, Interner Bericht, M. Gerndt, A. Krumme, S. Özmen
Přispěvatelé: The Pennsylvania State University CiteSeerX Archives
Zdroj: http://www.fz-juelich.de/jsc/files/docs/ib/ib-95/ib-9519.pdf.
Rok vydání: 1995
Sbírka: CiteSeerX
Témata: distributed memory computers, shared virtual memory, parallel programming, data locality
Popis: Programming distributed memory parallel computers with message passing is often considered to be a difficult task. To overcome the drawbacks of this programming style, several efforts have been made in the field of new parallel programming languages. One example is the shared virtual memory programming model. SVM-Fortran is an extension of Fortran77 for programming shared virtual memory systems. It provides special notations for work distribution to optimize data locality and load balance. There exists a number of different tools for performance debugging in message passing systems, but none of these would fulfill the special requirements of the SVM programming model. Moreover, we observed that the user requirements for performance debugging strongly recommend tools which are adapted to the programmers view of the program. Therefore, special emphasis is set on source code related methods of OPAL and the underlying trace generation with the performance monitor SAM.
Druh dokumentu: text
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Jazyk: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.3689
Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.3689
http://www.fz-juelich.de/jsc/files/docs/ib/ib-95/ib-9519.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Přístupové číslo: edsbas.51E2D6D8
Databáze: BASE
Popis
Abstrakt:Programming distributed memory parallel computers with message passing is often considered to be a difficult task. To overcome the drawbacks of this programming style, several efforts have been made in the field of new parallel programming languages. One example is the shared virtual memory programming model. SVM-Fortran is an extension of Fortran77 for programming shared virtual memory systems. It provides special notations for work distribution to optimize data locality and load balance. There exists a number of different tools for performance debugging in message passing systems, but none of these would fulfill the special requirements of the SVM programming model. Moreover, we observed that the user requirements for performance debugging strongly recommend tools which are adapted to the programmers view of the program. Therefore, special emphasis is set on source code related methods of OPAL and the underlying trace generation with the performance monitor SAM.