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» Learning in Parallel Universes
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PVM
2009
Springer
15 years 4 months ago
Optimizing MPI Runtime Parameter Settings by Using Machine Learning
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 ...
Simone Pellegrini, Jie Wang, Thomas Fahringer, Han...
EGC
2005
Springer
15 years 3 months ago
Learning Automata Based Algorithms for Mapping of a Class of Independent Tasks over Highly Heterogeneous Grids
Computational grid provides a platform for exploiting various computational resources over wide area networks. One of the concerns in implementing computational grid environment is...
S. Ghanbari, Mohammad Reza Meybodi
FTDCS
1999
IEEE
15 years 2 months ago
Lessons Learned from Building a Web-Based Spatial Data Discovery Facility
This paper discusses the lessons learned and decisions made while designing and developing a web-based application for the National Spatial Information Framework (NSIF) of South A...
Ferdie Danzfuss, Judith Bishop
PODC
2009
ACM
15 years 7 months ago
Memory models: a case for rethinking parallel languages and hardware
The era of parallel computing for the masses is here, but writing correct parallel programs remains far more difficult than writing sequential programs. Aside from a few domains,...
Sarita V. Adve
PLDI
2011
ACM
14 years 27 days ago
The tao of parallelism in algorithms
For more than thirty years, the parallel programming community has used the dependence graph as the main abstraction for reasoning about and exploiting parallelism in “regular...
Keshav Pingali, Donald Nguyen, Milind Kulkarni, Ma...