Sciweavers

25 search results - page 1 / 5
» Parallel hybrid evolutionary algorithms on GPU
Sort
View
CEC
2010
IEEE
13 years 4 months ago
Parallel hybrid evolutionary algorithms on GPU
Abstract— Over the last years, interest in hybrid metaheuristics has risen considerably in the field of optimization. Combinations of methods such as evolutionary algorithms and...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
13 years 8 months ago
GPU-based island model for evolutionary algorithms
The island model for evolutionary algorithms allows to delay the global convergence of the evolution process and encourage diversity. However, solving large size and time-intensiv...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
INTENSIVE
2009
IEEE
13 years 11 months ago
Accelerating K-Means on the Graphics Processor via CUDA
In this paper an optimized k-means implementation on the graphics processing unit (GPU) is presented. NVIDIA’s Compute Unified Device Architecture (CUDA), available from the G8...
Mario Zechner, Michael Granitzer
BMCBI
2011
12 years 11 months ago
DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI
Background: Next-generation sequencing technologies have led to the high-throughput production of sequence data (reads) at low cost. However, these reads are significantly shorter...
Yongchao Liu, Bertil Schmidt, Douglas L. Maskell
PPOPP
2010
ACM
14 years 1 months ago
Fast tridiagonal solvers on the GPU
We study the performance of three parallel algorithms and their hybrid variants for solving tridiagonal linear systems on a GPU: cyclic reduction (CR), parallel cyclic reduction (...
Yao Zhang, Jonathan Cohen, John D. Owens