Abstract
In this paper a tool is introduced that is capable of measuring and describing program execution on massively parallel computing systems. It allows to focus measurements on relevant points of execution by specifying behavioral attributes. Relevant aspects of the scalable implementation of this tool are described and an example of its application is given.
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© 1994 Springer-Verlag Berlin Heidelberg
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Hansen, O. (1994). A tool for optimizing programs on massively parallel computer architectures. In: Gentzsch, W., Harms, U. (eds) High-Performance Computing and Networking. HPCN-Europe 1994. Lecture Notes in Computer Science, vol 797. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57981-8_143
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DOI: https://doi.org/10.1007/3-540-57981-8_143
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Online ISBN: 978-3-540-48408-0
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