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Performance of scheduling scientific applications with adaptive weighted factoring

机译：自适应加权因子调度科学应用程序的性能

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《》|2001年|P.791-801|共11页
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Banicescu; I.; Velusamy; V.;
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中图分类无线电电子学、电信技术;
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1. Dynamic load balancing with adaptive factoring methods in scientific applications [J] . Ricolindo L. Carino, Ioana Banicescu Journal of supercomputing . 2008,第1期

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2. Genetic algorithm based task reordering to improve the performance of batch scheduled massively parallel scientific applications [J] . Ramanan Sankaran, Jordan Angel, W. Michael Brown Concurrency and Computation . 2015,第17期

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3. Probabilistic monitoring of chemical processes using adaptively weighted factor analysis and its application [J] . Qingchao Jiang, Xuefeng Yan Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers . 2014,第1期

机译：基于自适应加权因子分析的化学过程概率监测及其应用
4. Performance of scheduling scientific applications with adaptive weighted factoring [C] . Banicescu I., Velusamy V., Institute of Electric and Electronic Engineer International Parallel Distributed Processing Symposium . 2001

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5. Co-adapting scientific applications and architectures toward energy-efficient high performance computing. [D] . Malkowski, Konrad. 2008

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6. Secure Scientific Applications Scheduling Technique for Cloud Computing Environment Using Global League Championship Algorithm [O] . Shafi’i Muhammad Abdulhamid, Muhammad Shafie Abd Latiff, Gaddafi Abdul-Salaam, -1

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7. Task Scheduling Using Adaptive Weighted Particle Swarm Optimization with Adaptive Weighted Sum [O] . Vidya G., Sarathambekai S., Umamaheswari K., 2012

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Performance of scheduling scientific applications with adaptive weighted factoring

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