1225 search results - page 200 / 245 » Performance Evaluation of Grid-Enabled Code: A Case Study |
182
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CLOUD
2010
ACM
15 years 11 months ago
2010
ACM
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
206
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JMLR
2008
15 years 5 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
183
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SENSYS
2009
ACM
16 years 22 days ago
2009
ACM
Energy in sensor networks is a distributed, non-transferable resource. Over time, differences in energy availability are likely to arise. Protocols like routing trees may concent...
179
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KES
1999
Springer
15 years 10 months ago
1999
Springer
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
203
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EMSOFT
2004
Springer
15 years 11 months ago
2004
Springer
In current embedded systems, one of the major concerns is energy conservation. The dynamic voltage-scheduling (DVS) framework, which involves dynamically adjusting the voltage and...