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» Cluster computing for web-scale data processing
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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
TVCG
2012
213views Hardware» more  TVCG 2012»
11 years 11 months ago
Mesh-Driven Vector Field Clustering and Visualization: An Image-Based Approach
—Vector field visualization techniques have evolved very rapidly over the last two decades, however, visualizing vector fields on complex boundary surfaces from computational ...
Zhenmin Peng, Edward Grundy, Robert S. Laramee, Gu...
IPPS
2003
IEEE
14 years 2 months ago
Distributed Process Networks in Java
Kahn defined a formal model for networks of processes that communicate through channels carrying streams of data tokens. His mathematical results show the necessary conditions fo...
Thomas M. Parks, David Roberts
ICDCSW
2007
IEEE
14 years 3 months ago
Using stream queries to measure communication performance of a parallel computing environment
We have developed a data stream management system that supports declarative stream queries running over high data volumes in a supercomputing environment. To enable specification ...
Erik Zeitler, Tore Risch
EGPGV
2011
Springer
366views Visualization» more  EGPGV 2011»
13 years 6 days ago
GPU Algorithms for Diamond-based Multiresolution Terrain Processing
We present parallel algorithms for processing, extracting and rendering adaptively sampled regular terrain datasets represented as a multiresolution model defined by a super-squa...
M. Adil Yalçin, Kenneth Weiss, Leila De Flo...