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ICANN
2010
Springer
13 years 8 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
14 years 1 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 6 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 5 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 months 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