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» Parallel evolutionary algorithms on graphics processing unit
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ICIP
2008
IEEE
14 years 2 months ago
Microarray image gridding via an evolutionary algorithm
Gridding is the first, essential stage of processing cDNA microarray images. The existing tools for allocating the grid structure in a microarray image often require human interve...
Eleni Zacharia, Dimitris Maroulis
ERSA
2007
194views Hardware» more  ERSA 2007»
13 years 10 months ago
A Scalable and Reconfigurable Shared-Memory Graphics Cluster Architecture
Abstract: If the computational demands of an interactive graphics rendering application cannot be met by a single commodity Graphics Processing Unit (GPU), multiple graphics accele...
Ross Brennan, Michael Manzke, Keith O'Conor, John ...
DAC
2010
ACM
13 years 11 months ago
Efficient fault simulation on many-core processors
Fault simulation is essential in test generation, design for test and reliability assessment of integrated circuits. Reliability analysis and the simulation of self-test structure...
Michael A. Kochte, Marcel Schaal, Hans-Joachim Wun...
CEC
2007
IEEE
14 years 2 months ago
Parallel learning in heterogeneous multi-robot swarms
Abstract— Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques w...
Jim Pugh, Alcherio Martinoli
ICPP
2009
IEEE
14 years 3 months ago
Accelerating Lattice Boltzmann Fluid Flow Simulations Using Graphics Processors
—Lattice Boltzmann Methods (LBM) are used for the computational simulation of Newtonian fluid dynamics. LBM-based simulations are readily parallelizable; they have been implemen...
Peter Bailey, Joe Myre, Stuart D. C. Walsh, David ...