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EUROPAR
2010
Springer
13 years 7 months ago
Multi-GPU and Multi-CPU Parallelization for Interactive Physics Simulations
Today, it is possible to associate multiple CPUs and multiple GPUs in a single shared memory architecture. Using these resources efficiently in a seamless way is a challenging issu...
Everton Hermann, Bruno Raffin, François Fau...
EDBT
2006
ACM
191views Database» more  EDBT 2006»
14 years 7 months ago
Parallelizing Skyline Queries for Scalable Distribution
Skyline queries help users make intelligent decisions over complex data, where different and often conflicting criteria are considered. Current skyline computation methods are rest...
Ping Wu, Caijie Zhang, Ying Feng, Ben Y. Zhao, Div...
CCGRID
2004
IEEE
13 years 11 months ago
High performance LU factorization for non-dedicated clusters
This paper describes an implementation of parallel LU factorization. The focus is to achieve high performance on non-dedicated clusters, where the number of available computing re...
Toshio Endo, Kenji Kaneda, Kenjiro Taura, Akinori ...
LFP
1990
73views more  LFP 1990»
13 years 8 months ago
Lazy Task Creation: A Technique for Increasing the Granularity of Parallel Programs
Many parallel algorithms are naturally expressed at a ne level of granularity, often ner than a MIMD parallel system can exploit eciently. Most builders of parallel systems have...
Eric Mohr, David A. Kranz, Robert H. Halstead Jr.
ICPADS
2002
IEEE
14 years 15 days ago
Adaptive Matrix Multiplication in Heterogeneous Environments
In this paper, an adaptive matrix multiplication algorithm for dynamic heterogeneous environments is developed and evaluated. Unlike the state-of-the-art approaches, where load ba...
Bo Hong, Viktor K. Prasanna