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» Automatic parallelization for graphics processing units
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CDES
2009
170views Hardware» more  CDES 2009»
13 years 8 months ago
Benchmarking GPU Devices with N-Body Simulations
Recent developments in processing devices such as graphical processing units and multi-core systems offer opportunities to make use of parallel techniques at the chip level to obt...
Daniel P. Playne, Mitchell Johnson, Kenneth A. Haw...
CC
2006
Springer
176views System Software» more  CC 2006»
13 years 9 months ago
The CGiS Compiler-A Tool Demonstration
The CGiS programming language is designed to open up the parallel performance possibilities of graphics processing units (GPUs) to general purpose programmers. This tool demonstrat...
Philipp Lucas, Nicolas Fritz, Reinhard Wilhelm
ASPLOS
2010
ACM
14 years 1 hour ago
Accelerating MATLAB Image Processing Toolbox functions on GPUs
In this paper, we present our effort in developing an opensource GPU (graphics processing units) code library for the MATLAB Image Processing Toolbox (IPT). We ported a dozen of r...
Jingfei Kong, Martin Dimitrov, Yi Yang, Janaka Liy...
AUSDM
2008
Springer
238views Data Mining» more  AUSDM 2008»
13 years 9 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
IPPS
2009
IEEE
14 years 2 months ago
A cross-input adaptive framework for GPU program optimizations
Abstract—Recent years have seen a trend in using graphic processing units (GPU) as accelerators for general-purpose computing. The inexpensive, single-chip, massively parallel ar...
Yixun Liu, Eddy Z. Zhang, Xipeng Shen