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» Modular Resultant Algorithm for Graphics Processors
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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
CORR
2008
Springer
162views Education» more  CORR 2008»
13 years 7 months ago
Accelerating Scientific Computations with Mixed Precision Algorithms
On modern architectures, the performance of 32-bit operations is often at least twice as fast as the performance of 64-bit operations. By using a combination of 32-bit and 64-bit ...
Marc Baboulin, Alfredo Buttari, Jack Dongarra, Jak...
KDD
2010
ACM
228views Data Mining» more  KDD 2010»
13 years 11 months ago
The new iris data: modular data generators
In this paper we introduce a modular, highly flexible, opensource environment for data generation. Using an existing graphical data flow tool, the user can combine various types...
Iris Adä, Michael R. Berthold
COMPUTING
2004
204views more  COMPUTING 2004»
13 years 7 months ago
Image Registration by a Regularized Gradient Flow. A Streaming Implementation in DX9 Graphics Hardware
The presented image registration method uses a regularized gradient flow to correlate the intensities in two images. Thereby, an energy functional is successively minimized by des...
Robert Strzodka, Marc Droske, Martin Rumpf
SC
2000
ACM
13 years 11 months ago
High Performance Reactive Fluid Flow Simulations Using Adaptive Mesh Refinement on Thousands of Processors
We present simulations and performance results of nuclear burning fronts in supernovae on the largest domain and at the finest spatial resolution studied to date. These simulation...
A. C. Calder, Bruce C. Curtis, L. J. Dursi, Bruce ...