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» Introduction to GPU programming
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ICS
2009
Tsinghua U.
15 years 4 months ago
Fast and scalable list ranking on the GPU
General purpose programming on the graphics processing units (GPGPU) has received a lot of attention in the parallel computing community as it promises to offer the highest perfo...
M. Suhail Rehman, Kishore Kothapalli, P. J. Naraya...
ICPP
2009
IEEE
15 years 4 months ago
Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function
We are currently faced with the situation where applications have increasing computational demands and there is a wide selection of parallel processor systems. In this paper we fo...
Frederico Pratas, Pedro Trancoso, Alexandros Stama...
103
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IPPS
2009
IEEE
15 years 4 months ago
Singular value decomposition on GPU using CUDA
Linear algebra algorithms are fundamental to many computing applications. Modern GPUs are suited for many general purpose processing tasks and have emerged as inexpensive high per...
Sheetal Lahabar, P. J. Narayanan
SBACPAD
2008
IEEE
249views Hardware» more  SBACPAD 2008»
15 years 4 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...
ICVGIP
2008
14 years 11 months ago
Ray Casting Deformable Models on the GPU
The GPUs pack high computation power and a restricted architecture into easily available hardware today. They are now used as computation co-processors and come with programming m...
Suryakant Patidar, P. J. Narayanan