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» Decomposing Linear Programs for Parallel Solution
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PPOPP
2009
ACM
14 years 8 months ago
Solving dense linear systems on platforms with multiple hardware accelerators
In a previous paper we show how the FLAME methods and tools provide a solution to compute dense dense linear algebra operations on a multi-GPU platform with reasonable performance...
Enrique S. Quintana-Ortí, Francisco D. Igua...
SBACPAD
2003
IEEE
138views Hardware» more  SBACPAD 2003»
14 years 22 days ago
Finite Difference Simulations of the Navier-Stokes Equations Using Parallel Distributed Computing
 This paper discusses the implementation of a numerical algorithm for simulating incompressible fluid flows based on the finite difference method and designed for parallel compu...
João Paulo De Angeli, Andréa M. P. V...
ICPADS
2007
IEEE
14 years 1 months ago
Scheduling multiple divisible loads on a linear processor network
Min, Veeravalli, and Barlas have recently proposed strategies to minimize the overall execution time of one or several divisible loads on a heterogeneous linear network, using one...
Matthieu Gallet, Yves Robert, Frédér...
COCOA
2009
Springer
14 years 2 months ago
Matching Techniques Ride to Rescue OLED Displays
Combinatorial optimization problems have recently emerged in the design of controllers for OLED displays. The objective is to decompose an image into subframes minimizing the addre...
Andreas Karrenbauer
NN
2000
Springer
128views Neural Networks» more  NN 2000»
13 years 7 months ago
A recurrent neural network for solving linear projection equations
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
Youshen Xia, Jun Wang