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HIPC
2009
Springer
13 years 6 months ago
Optimizing the use of GPU memory in applications with large data sets
Abstract--With General Purpose programmable GPUs becoming more and more popular, automated tools are needed to bridge the gap between achievable performance from highly parallel ar...
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer
COR
2007
80views more  COR 2007»
13 years 8 months ago
Scheduling with tool changes to minimize total completion time under controllable machining conditions
Scheduling under controllable machining conditions has been studied for some time. Scheduling with tool changes, particularly due to tool wear, has just begun to receive attention...
M. Selim Akturk, Jay B. Ghosh, Rabia K. Kayan
PODC
1999
ACM
14 years 29 days ago
Optimal, Distributed Decision-Making: The Case of no Communication
We present a combinatorial framework for the study of a natural class of distributed optimization problems that involve decisionmaking by a collection of n distributed agents in th...
Marios Mavronicolas, Paul G. Spirakis
EMO
2006
Springer
219views Optimization» more  EMO 2006»
14 years 10 days ago
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourd...
SIAMREV
2010
174views more  SIAMREV 2010»
13 years 3 months ago
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the ...
Benjamin Recht, Maryam Fazel, Pablo A. Parrilo