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AUSDM
2008
Springer
238views Data Mining» more  AUSDM 2008»
13 years 10 months ago
Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering
The exceptional growth of graphics hardware in programmability and data processing speed in the past few years has fuelled extensive research in using it for general purpose compu...
S. A. Arul Shalom, Manoranjan Dash, Minh Tue
CF
2010
ACM
13 years 11 months ago
Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware
Computational neuroscience is being revolutionized with the advent of multi-electrode arrays that provide real-time, dynamic perspectives into brain function. Mining neuronal spik...
Yong Cao, Debprakash Patnaik, Sean P. Ponce, Jerem...
ICMCS
2006
IEEE
231views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Performance of Optical Flow Techniques on Graphics Hardware
Since graphics cards have become programmable the recent years, numerous computationally intensive algorithms have been implemented on the now called General Purpose Graphics Proc...
Marko Durkovic, Michael Zwick, Florian Obermeier, ...
SIGMOD
2007
ACM
196views Database» more  SIGMOD 2007»
14 years 8 months ago
GPUQP: query co-processing using graphics processors
We present GPUQP, a relational query engine that employs both CPUs and GPUs (Graphics Processing Units) for in-memory query co-processing. GPUs are commodity processors traditiona...
Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. ...
VRST
2006
ACM
14 years 2 months ago
Utilizing jump flooding in image-based soft shadows
This paper studies the usage of the GPU as a collection of groups of related processing units, where each group communicates in some way to complete a computation efficiently and...
Guodong Rong, Tiow Seng Tan