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» Implementations of Grid-Based Distributed Parallel Computing
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HPDC
2002
IEEE
14 years 26 days ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
ISSAC
2007
Springer
99views Mathematics» more  ISSAC 2007»
14 years 2 months ago
Computing monodromy via parallel homotopy continuation
Numerical homotopy continuation gives a powerful tool for the applied scientist who seeks solutions to a system of polynomial equations. Techniques from numerical homotopy continu...
Anton Leykin, Frank Sottile
EUROPAR
1999
Springer
14 years 5 days ago
DAOS - Scalable And-Or Parallelism
Abstract. This paper presents DAOS, a model for exploitation of Andand Or-parallelism in logic programs. DAOS assumes a physically distributed memory environment and a logically sh...
Luís Fernando Castro, Vítor Santos C...
TPDS
2008
113views more  TPDS 2008»
13 years 7 months ago
Evaluating a High-Level Parallel Language (GpH) for Computational GRIDs
Computational Grids potentially offer low cost, readily available, and large-scale high-performance platforms. For the parallel execution of programs, however, computational GRIDs ...
Abdallah Al Zain, Philip W. Trinder, Greg Michaels...
MM
2005
ACM
215views Multimedia» more  MM 2005»
14 years 1 months ago
OpenVIDIA: parallel GPU computer vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann