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ICANN
2010
Springer
13 years 6 months ago
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
Dominik Scherer, Hannes Schulz, Sven Behnke
IPPS
2008
IEEE
13 years 11 months ago
Faster matrix-vector multiplication on GeForce 8800GTX
Recently a GPU has acquired programmability to perform general purpose computation fast by running ten thousands of threads concurrently. This paper presents a new algorithm for d...
N. Fujimoto
CORR
2010
Springer
135views Education» more  CORR 2010»
13 years 4 months ago
Gravitational tree-code on graphics processing units: implementation in CUDA
We present a new very fast tree-code which runs on massively parallel Graphical Processing Units (GPU) with NVIDIA CUDA architecture. The tree-construction and calculation of mult...
Evghenii Gaburov, Jeroen Bédorf, Simon Port...
ITNG
2010
IEEE
13 years 3 months ago
Record Setting Software Implementation of DES Using CUDA
—The increase in computational power of off-the-shelf hardware offers more and more advantageous tradeoffs among efficiency, cost and availability, thus enhancing the feasibil...
Giovanni Agosta, Alessandro Barenghi, Fabrizio De ...
CEC
2009
IEEE
14 years 1 days ago
GPU-based parallel particle swarm optimization
— A novel parallel approach to run standard particle swarm optimization (SPSO) on Graphic Processing Unit (GPU) is presented in this paper. By using the general-purpose computing...
You Zhou, Ying Tan