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» Parallel Coarse Grain Computing of Boltzmann Machines
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IPPS
2010
IEEE
13 years 5 months 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...
PC
1998
123views Management» more  PC 1998»
13 years 7 months ago
Designing communication strategies for heterogeneous parallel systems
This paper investigates communication strategies for interconnecting heterogeneous parallel systems. As the speed of processors and parallel systems keep on increasing over the ye...
Ravi Prakash, Dhabaleswar K. Panda
PARA
1995
Springer
13 years 11 months ago
Decomposing Linear Programs for Parallel Solution
Coarse grain parallelism inherent in the solution of Linear Programming (LP) problems with block angular constraint matrices has been exploited in recent research works. However, t...
Ali Pinar, Ümit V. Çatalyürek, Ce...
LSSC
2001
Springer
14 years 4 days ago
On the Parallelization of the Sparse Grid Approach for Data Mining
Abstract. Recently we presented a new approach [5, 6] to the classification problem arising in data mining. It is based on the regularization network approach, but in contrast to ...
Jochen Garcke, Michael Griebel
SASP
2009
IEEE
291views Hardware» more  SASP 2009»
14 years 2 months ago
FCUDA: Enabling efficient compilation of CUDA kernels onto FPGAs
— As growing power dissipation and thermal effects disrupted the rising clock frequency trend and threatened to annul Moore’s law, the computing industry has switched its route...
Alexandros Papakonstantinou, Karthik Gururaj, John...