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» Optimizing for parallelism and data locality
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GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 4 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
IPPS
1996
IEEE
15 years 2 months ago
A Virtual Memory Model for Parallel Supercomputers
A model for virtual memory in a distributed memory parallel computer is proposed. It uses a novel parallel computing operating system framework and leads to the definition of two ...
Veronica L. M. Reis, Isaac D. Scherson
87
Voted
IJAR
2010
130views more  IJAR 2010»
14 years 8 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
IEEEHPCS
2010
14 years 8 months ago
Discovering closed frequent itemsets on multicore: Parallelizing computations and optimizing memory accesses
The problem of closed frequent itemset discovery is a fundamental problem of data mining, having applications in numerous domains. It is thus very important to have efficient par...
Benjamin Négrevergne, Alexandre Termier, Je...
88
Voted
HIPC
2009
Springer
14 years 8 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