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» Parallel evolutionary algorithms on graphics processing unit
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ICIP
2008
IEEE
15 years 11 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
193
Voted
ERSA
2007
194views Hardware» more  ERSA 2007»
15 years 6 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 ...
149
Voted
DAC
2010
ACM
15 years 8 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...
131
Voted
CEC
2007
IEEE
15 years 11 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
15 years 11 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 ...