58 search results - page 1 / 12 » Optimizing MPI Runtime Parameter Settings by Using Machine L... |
PVM
2009
Springer
13 years 11 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 ...
PVM
1998
Springer
13 years 8 months ago
1998
Springer
Abstract. SKaMPI is a benchmark for MPI implementations. Its purpose is the detailed analysis of the runtime of individual MPI operations and comparison of these for di erent imple...
JCP
2006
13 years 4 months ago
2006
Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to le...
CP
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
ICONIP
2007
13 years 5 months ago
2007
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...