Abstract
A scalable approach to performance analysis of MPI applications is presented that includes automated source code instrumentation, low overhead generation of profile and trace data, and database management of performance data. In addition, tools are described that analyze large-scale parallel profile and trace data. Analysis of trace data is done using an automated pattern-matching approach. Examples of using the tools on large-scale MPI applications are presented. © Springer-Verlag Berlin Heidelberg 2005.
Original language | English |
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Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci. |
Publisher | Springer Nature |
Pages | 309-316 |
Number of pages | 7 |
Volume | 3666 |
ISBN (Print) | 3540290095, 9783540290094 |
DOIs | |
Publication status | Published - 2005 |
Event | 12th European PVM/MPI Users' Group Meeting - Recent Advances in Parallel Virtual Machine and Message Passing Interface - Sorrento Duration: 1 Jul 2005 → … http://dblp.uni-trier.de/db/conf/pvm/pvm2005.html#FaggABPD05http://dblp.uni-trier.de/rec/bibtex/conf/pvm/FaggABPD05.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/pvm/FaggABPD05 |
Publication series
Name | Lecture Notes in Computer Science |
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Conference
Conference | 12th European PVM/MPI Users' Group Meeting - Recent Advances in Parallel Virtual Machine and Message Passing Interface |
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City | Sorrento |
Period | 1/07/05 → … |
Internet address |