131 search results - page 7 / 27 » Predicting parallel application performance via machine lear... |
PVM
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Manually tuning MPI runtime parameters is a practice commonly employed to optimise MPI application performance on a specific architecture. However, the best setting for ...
102
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IPCCC
2007
IEEE
15 years 6 months ago
2007
IEEE
Tuning the performance of applications requires understanding the interactions between code and target architecture. This paper describes a performance modeling approach that not ...
AUSAI
2004
Springer
15 years 5 months ago
2004
Springer
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
114
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
132
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CCGRID
2007
IEEE
15 years 6 months ago
2007
IEEE
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...