Abstract
We present the design and development of a Performance Data Representation System (PDRS) for scalable parallel computing. PDRS provides decision support that helps users find the right data to understand their programs’ performance and to select appropriate ways to display and analyze it. PDRS is an attempt to provide appropriate assistant to help programmers identifying performance bottlenecks and optimizing their programs.
This work was supported in part by National Science Foundation under NSF grant ASC-9720215 and CCR-9972251.
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Sun, XH., Wu, X. (2000). PDRS: A Performance Data Representation System. In: Rolim, J. (eds) Parallel and Distributed Processing. IPDPS 2000. Lecture Notes in Computer Science, vol 1800. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45591-4_37
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DOI: https://doi.org/10.1007/3-540-45591-4_37
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