131 search results - page 7 / 27 » Predicting parallel application performance via machine lear... |
PVM
2009
Springer
14 years 2 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 ...
IPCCC
2007
IEEE
14 years 2 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
14 years 1 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...
CVPR
2012
IEEE
11 years 10 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...
CCGRID
2007
IEEE
14 years 2 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...