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142
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OOPSLA
2009
Springer
15 years 9 months ago
Parallel programming with object assemblies
We present Chorus, a high-level parallel programming model suitable for irregular, heap-manipulating applications like mesh refinement and epidemic simulations, and JChorus, an i...
Roberto Lublinerman, Swarat Chaudhuri, Pavol Cern&...
165
Voted
IPPS
2010
IEEE
15 years 19 days ago
Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...
142
Voted
PDPTA
1996
15 years 4 months ago
Exploiting Task-Level Parallelism Using pTask
This paper presents pTask-- a system that allows users to automatically exploit dynamic task-level parallelism in sequential array-based C programs. The system employs compiler an...
Tarek S. Abdelrahman, Sum Huynh
113
Voted
IEEECIT
2010
IEEE
15 years 1 months ago
Scaling the iHMM: Parallelization versus Hadoop
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
Sebastien Bratieres, Jurgen Van Gael, Andreas Vlac...
109
Voted
PACT
2005
Springer
15 years 8 months ago
OpenTS: An Outline of Dynamic Parallelization Approach
The paper is dedicated to an open T-system (OpenTS) — a programming system that supports automatic parallelization of computations for high-performance and distributed applicatio...
Sergey Abramov, Alexey I. Adamovich, Alexander Iny...