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» Massively parallel computing using commodity components
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SASP
2009
IEEE
222views Hardware» more  SASP 2009»
14 years 3 months ago
A memory optimization technique for software-managed scratchpad memory in GPUs
—With the appearance of massively parallel and inexpensive platforms such as the G80 generation of NVIDIA GPUs, more real-life applications will be designed or ported to these pl...
Maryam Moazeni, Alex A. T. Bui, Majid Sarrafzadeh
TVCG
2011
188views more  TVCG 2011»
13 years 4 months ago
Data-Parallel Octrees for Surface Reconstruction
—We present the first parallel surface reconstruction algorithm that runs entirely on the GPU. Like existing implicit surface reconstruction methods, our algorithm first builds...
Kun Zhou, Minmin Gong, Xin Huang, Baining Guo
HPCS
2006
IEEE
14 years 3 months ago
Evaluation of Knapsack-Based Scheduling Using the NPACI JOBLOG
GridX1 is a computational grid deployment of off-theshelf components using shared resources at several Canadian research institutions. This work evaluates the applicability of kna...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Rafae...
TJS
2002
118views more  TJS 2002»
13 years 8 months ago
The MAGNeT Toolkit: Design, Implementation and Evaluation
Abstract-The current trend in constructing high-performance computing systems is to connect a large number of machines via a fast interconnect or a large-scale network such as the ...
Wu-chun Feng, Mark K. Gardner, Jeffrey R. Hay
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 9 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic