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CSIE
2009
IEEE
13 years 11 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...
CEC
2008
IEEE
14 years 22 days ago
Generating massive high-quality random numbers using GPU
— Pseudo-random number generators (PRNG) have been intensively used in many stochastic algorithms in artificial intelligence, computer graphics and other scientific computing. ...
Wai-Man Pang, Tien-Tsin Wong, Pheng-Ann Heng
IPPS
2000
IEEE
13 years 10 months ago
Reduction Optimization in Heterogeneous Cluster Environments
Network of workstation (NOW) is a cost-effective alternative to massively parallel supercomputers. As commercially available off-the-shelf processors become cheaper and faster, ...
Pangfeng Liu, Da-Wei Wang
CLUSTER
2005
IEEE
13 years 12 months ago
Fast Query Processing by Distributing an Index over CPU Caches
Data intensive applications on clusters often require requests quickly be sent to the node managing the desired data. In many applications, one must look through a sorted tree str...
Xiaoqin Ma, Gene Cooperman
HPDC
1999
IEEE
13 years 10 months ago
The Cactus Computational Toolkit and using Distributed Computing to Collide Neutron Stars
We are developing a system for collaborative research and development for a distributed group of researchers at different institutions around the world. In a new paradigm for coll...
Gabrielle Allen, Tom Goodale, Joan Massó, E...