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GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
13 years 9 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde
ISCC
2006
IEEE
154views Communications» more  ISCC 2006»
13 years 11 months ago
Decentralized Load Balancing for Highly Irregular Search Problems
In this paper, we present a Dynamic Load Balancing (DLB) policy for problems characterized by a highly irregular search tree, whereby no reliable workload prediction is available....
Giuseppe Di Fatta, Michael R. Berthold
IPPS
2005
IEEE
13 years 11 months ago
Reducing Power with Performance Constraints for Parallel Sparse Applications
Sparse and irregular computations constitute a large fraction of applications in the data-intensive scientific domain. While every effort is made to balance the computational wor...
Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir...
PC
2007
343views Management» more  PC 2007»
13 years 5 months ago
Runtime scheduling of dynamic parallelism on accelerator-based multi-core systems
We explore runtime mechanisms and policies for scheduling dynamic multi-grain parallelism on heterogeneous multi-core processors. Heterogeneous multi-core processors integrate con...
Filip Blagojevic, Dimitrios S. Nikolopoulos, Alexa...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
13 years 12 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