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Optimizing the Configuration of a Heterogeneous Cluster with Multiprocessing and Execution-Time Estimation ⋆

机译：通过多处理和执行时间估计来优化异构集群的配置⋆

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Yoshinori Kishimoto A; Shuichi Ichikawa A;
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年度 2004
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1. Optimizing the configuration of a heterogeneous cluster with multiprocessing and execution-time estimation [J] . Yoshinori Kishimoto, Shuichi Ichikawa Parallel Computing . 2005,第7期

机译：通过多处理和执行时间估计来优化异构集群的配置
2. Power optimization for dynamic configuration in heterogeneous web server clusters [J] . Luciano Bertini, Julius C.B. Leite, Daniel Mosse Journal of systems and software . 2010,第4期

机译：针对异构Web服务器集群中的动态配置进行电源优化
3. Design and optimization of heat-integrated distillation configurations with variable feed composition by using a Boltzmann-based estimation of distribution algorithm as optimizer [J] . Gutierrez-Guerra Roberto, Murrieta-Duenas Rodolfo, Cortez-Gonzalez Jazmin, Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers . 2017,第期

机译：通过使用基于Boltzmann的分布算法估算作为优化器，通过使用基于Boltzmann的分布算法的热集成蒸馏配置的设计与优化
4. Constructing execution-time estimation models from diverse processing elements of heterogeneous clusters [C] . Ichikawa Shuichi, Kawai Yuu IEEE Region 10 Conference . 2008

机译：构建异构集群不同处理元件的执行时间估计模型
5. Optimizing clustering algorithms on heterogeneous parallel architectures for lossy checkpointing mechanisms [D] . Jadhav, Ritesh. 2016

机译：损耗检查点机制的异构并行架构中优化聚类算法
6. Optimizing Gold Nanoparticle Cluster Configurations (n ≤ 7) for Array Applications [O] . Bo Yan, Svetlana V. Boriskina, Björn M. Reinhard -1

机译：优化金纳米粒子的群集配置（N≤7）阵列应用
7. Configuration Code Generation and Optimizations for Heterogeneous Reconfigurable DSPs [O] . Suet-fei Li, Marlene Wan, Jan Rabaey 1999

机译：异构可重配置DSP的配置代码生成和优化
8. Optimization of Radially Heterogeneous 1000-MW(E) LMFBR Core Configurations. Appendixes A and B. Research Project 620-25 [R] . Barthold, W. P., Orechwa, Y., Su, S. F., 1979

机译：径向非均匀1000 mW（E）LmFBR核心配置的优化。附录a和B.研究项目620-25

Optimizing the Configuration of a Heterogeneous Cluster with Multiprocessing and Execution-Time Estimation ⋆

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