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» Acceleration in Convex Data-Flow Analysis
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FSTTCS
2007
Springer
15 years 5 months ago
Acceleration in Convex Data-Flow Analysis
Jérôme Leroux, Grégoire Sutre
SAS
2007
Springer
15 years 5 months ago
Accelerated Data-Flow Analysis
Jérôme Leroux, Grégoire Sutre
92
Voted
QUESTA
2006
100views more  QUESTA 2006»
14 years 10 months ago
A queueing analysis of max-min fairness, proportional fairness and balanced fairness
We compare the performance of three usual allocations (max-min fairness, proportional fairness and balanced fairness) in a communication network whose resources are shared by a ra...
Thomas Bonald, Laurent Massoulié, Alexandre...
IPPS
2007
IEEE
15 years 5 months ago
Pipelining Tradeoffs of Massively Parallel SuperCISC Hardware Functions
Parallel processing using multiple processors is a well-established technique to accelerate many different classes of applications. However, as the density of chips increases, ano...
Colin J. Ihrig, Justin Stander, Alex K. Jones
135
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CVPR
2011
IEEE
14 years 6 months ago
Accelerated Low-Rank Visual Recovery by Random Projection
Exact recovery from contaminated visual data plays an important role in various tasks. By assuming the observed data matrix as the addition of a low-rank matrix and a sparse matri...
Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan