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IPPS
2006
IEEE
14 years 2 months ago
A code motion technique for accelerating general-purpose computation on the GPU
Recently, graphics processing units (GPUs) are providing increasingly higher performance with programmable internal processors, namely vertex processors (VPs) and fragment process...
T. Ikeda, Fumihiko Ino, Kenichi Hagihara
CCGRID
2011
IEEE
13 years 4 days ago
Small Discrete Fourier Transforms on GPUs
– Efficient implementations of the Discrete Fourier Transform (DFT) for GPUs provide good performance with large data sizes, but are not competitive with CPU code for small data ...
S. Mitra, A. Srinivasan
IPPS
2009
IEEE
14 years 3 months ago
Exploring the multiple-GPU design space
Graphics Processing Units (GPUs) have been growing in popularity due to their impressive processing capabilities, and with general purpose programming languages such as NVIDIA’s...
Dana Schaa, David R. Kaeli
SBACPAD
2008
IEEE
249views Hardware» more  SBACPAD 2008»
14 years 2 months ago
Processing Neocognitron of Face Recognition on High Performance Environment Based on GPU with CUDA Architecture
This work presents an implementation of Neocognitron Neural Network, using a high performance computing architecture based on GPU (Graphics Processing Unit). Neocognitron is an ar...
Gustavo Poli, José Hiroki Saito, Joã...
ACCV
2006
Springer
14 years 2 months ago
Boosted Algorithms for Visual Object Detection on Graphics Processing Units
Nowadays, the use of machine learning methods for visual object detection has become widespread. Those methods are robust. They require an important processing power and a high mem...
Hicham Ghorayeb, Bruno Steux, Claude Laurgeau