Sciweavers

8 search results - page 1 / 2
» K-Means on Commodity GPUs with CUDA
Sort
View
CSIE
2009
IEEE
13 years 9 months ago
K-Means on Commodity GPUs with CUDA
K-means algorithm is one of the most famous unsupervised clustering algorithms. Many theoretical improvements for the performance of original algorithms have been put forward, whi...
Hong-tao Bai, Li-li He, Dan-tong Ouyang, Zhan-shan...
HIPC
2007
Springer
13 years 11 months ago
Molecular Dynamics Simulations on Commodity GPUs with CUDA
Molecular dynamics simulations are a common and often repeated task in molecular biology. The need for speeding up this treatment comes from the requirement for large system simula...
Weiguo Liu, Bertil Schmidt, Gerrit Voss, Wolfgang ...
ICPADS
2010
IEEE
13 years 2 months ago
GMH: A Message Passing Toolkit for GPU Clusters
Driven by the market demand for high-definition 3D graphics, commodity graphics processing units (GPUs) have evolved into highly parallel, multi-threaded, many-core processors, whi...
Jie Chen, William A. Watson III, Weizhen Mao
ICMCS
2008
IEEE
159views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Using graphics devices in reverse: GPU-based Image Processing and Computer Vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann
JCC
2010
105views more  JCC 2010»
13 years 3 months ago
PAPER - Accelerating parallel evaluations of ROCS
Abstract: Modern graphics processing units (GPUs) are flexibly programmable and have peak computational throughput significantly faster than conventional CPUs. Herein, we describ...
Imran S. Haque, Vijay S. Pande