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» Massively parallel processing on a chip
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ICDM
2010
IEEE
189views Data Mining» more  ICDM 2010»
13 years 5 months ago
S4: Distributed Stream Computing Platform
Abstract--S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continu...
Leonardo Neumeyer, Bruce Robbins, Anish Nair, Anan...
EUROPAR
2009
Springer
14 years 2 months ago
High Performance Matrix Multiplication on Many Cores
Moore’s Law suggests that the number of processing cores on a single chip increases exponentially. The future performance increases will be mainly extracted from thread-level par...
Nan Yuan, Yongbin Zhou, Guangming Tan, Junchao Zha...
CCGRID
2008
IEEE
14 years 2 months ago
A Performance Study of Secure Data Mining on the Cell Processor
— This paper examines the potential of the Cell processor as a platform for secure data mining on the future volunteer computing systems. Volunteer computing platforms have the p...
Hong Wang 0006, Hiroyuki Takizawa, Hiroaki Kobayas...
CIKM
2009
Springer
14 years 9 days ago
Density-based clustering using graphics processors
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...
Christian Böhm, Robert Noll, Claudia Plant, B...
ICVS
2001
Springer
14 years 3 days ago
Compiling SA-C Programs to FPGAs: Performance Results
Abstract. At the first ICVS, we presented SA-C (“sassy”), a singleassignment variant of the C programming language designed to exploit both coarse-grain and fine-grain parallel...
Bruce A. Draper, A. P. Wim Böhm, Jeffrey Hamm...