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» Optimizing for parallelism and data locality
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134
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SAMOS
2010
Springer
14 years 10 months ago
Power aware heterogeneous MPSoC with dynamic task scheduling and increased data locality for multiple applications
A new heterogeneous multiprocessor system with dynamic memory and power management for improved performance and power consumption is presented. Increased data locality is automatic...
Oliver Arnold, Gerhard Fettweis
107
Voted
AAAI
2008
15 years 2 months ago
Local Search for Optimal Global Map Generation Using Mid-Decadal Landsat Images
NASA and USGS are collaborating to produce a global map of Earth using Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus sensor data from the period of 2004 th...
Robert A. Morris, John Gasch, Lina Khatib, Steven ...
93
Voted
WSC
2007
15 years 2 months ago
Parallel cross-entropy optimization
The Cross-Entropy (CE) method is a modern and effective optimization method well suited to parallel implementations. There is a vast array of problems today, some of which are hig...
Gareth E. Evans, Jonathan M. Keith, Dirk P. Kroese
101
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CEC
2010
IEEE
15 years 1 months ago
A parallel framework for multi-objective evolutionary optimization
This work focuses on the development of a parallel framework method to improve the effectiveness and the efficiency of the obtained solutions by Multi-objective Evolutionary Algori...
Dipankar Dasgupta, David Camilo Becerra Romero, Al...
118
Voted
PVLDB
2008
126views more  PVLDB 2008»
14 years 12 months ago
Parallelizing query optimization
Many commercial RDBMSs employ cost-based query optimization exploiting dynamic programming (DP) to efficiently generate the optimal query execution plan. However, optimization tim...
Wook-Shin Han, Wooseong Kwak, Jinsoo Lee, Guy M. L...