255 search results - page 12 / 51 » Learning parallel portfolios of algorithms |
ISPASS
2009
IEEE
2009
IEEE
Machine learning based online performance prediction for runtime parallelization and task scheduling
14 years 2 months ago
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
ICS
2005
Tsinghua U.
14 years 28 days ago
2005
Tsinghua U.
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
CP
2004
Springer
14 years 24 days ago
2004
Springer
It is well known that the ratio of the number of clauses to the number of variables in a random k-SAT instance is highly correlated with the instance’s empirical hardness. We con...
IJAIT
2007
13 years 7 months ago
2007
: This work presents an original algorithmic model of some essential features of psychogenetic theory, as was proposed by J.Piaget. Specifically, we modeled some elements of cognit...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
This paper addresses the issue of reducing the storage requirements on Instance-Based Learning algorithms. Algorithms proposed by other researches use heuristics to prune instance...