Добірка наукової літератури з теми "Virtualization, Scheduling, Heterogeneous Clusters, High Performance Computing"
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Статті в журналах з теми "Virtualization, Scheduling, Heterogeneous Clusters, High Performance Computing"
Lin, Weiwei, Wentai Wu, and James Z. Wang. "A Heuristic Task Scheduling Algorithm for Heterogeneous Virtual Clusters." Scientific Programming 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/7040276.
Повний текст джерелаKaur, Nirmal, Savina Bansal, and Rakesh Kumar Bansal. "Energy conscious scheduling with controlled threshold for precedence-constrained tasks on heterogeneous clusters." Concurrent Engineering 25, no. 3 (November 28, 2016): 276–86. http://dx.doi.org/10.1177/1063293x16679001.
Повний текст джерелаKim, Hyunjoo, Yaakoub el-Khamra, Ivan Rodero, Shantenu Jha, and Manish Parashar. "Autonomic Management of Application Workflows on Hybrid Computing Infrastructure." Scientific Programming 19, no. 2-3 (2011): 75–89. http://dx.doi.org/10.1155/2011/940242.
Повний текст джерелаAshima, Ashima, and Vikramjit Singh. "A NOVEL APPROACH OF JOB ALLOCATION USING MULTIPLE PARAMETERS IN IN CLOUD ENVIRONMENT." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 17, no. 1 (January 16, 2018): 7103–10. http://dx.doi.org/10.24297/ijct.v17i1.7004.
Повний текст джерелаBhargavi, K., B. Sathish Babu, and Jeremy Pitt. "Performance Modeling of Load Balancing Techniques in Cloud: Some of the Recent Competitive Swarm Artificial Intelligence-based." Journal of Intelligent Systems 30, no. 1 (July 3, 2020): 40–58. http://dx.doi.org/10.1515/jisys-2019-0084.
Повний текст джерелаДисертації з теми "Virtualization, Scheduling, Heterogeneous Clusters, High Performance Computing"
Rosenvinge, Einar Magnus. "Online Task Scheduling on Heterogeneous Clusters : An Experimental Study." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-278.
Повний текст джерелаWe study the problem of scheduling applications composed of a large number of tasks on heterogeneous clusters. Tasks are identical, independent from each other, and can hence be computed in any order. The goal is to execute all the tasks as quickly as possible. We use the Master-Worker paradigm, where tasks are maintained by the master which will hand out batches of a variable amount of tasks to requesting workers. We introduce a new scheduling strategy, the Monitor strategy, and compare it to other strategies suggested in the literature. An image filtering application, known as matched filtering, has been used to compare the different strategies. Our implementation involves datastaging techniques in order to circumvent the possible bottleneck incurred by the master, and multi-threading to prevent possible processor idleness.
Rafique, Muhammad Mustafa. "An Adaptive Framework for Managing Heterogeneous Many-Core Clusters." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/29119.
Повний текст джерелаPh. D.
Zhang, Jie Zhang. "Designing and Building Efficient HPC Cloud with Modern Networking Technologies on Heterogeneous HPC Clusters." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1532737201524604.
Повний текст джерелаGupta, Vishakha. "Coordinated system level resource management for heterogeneous many-core platforms." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42750.
Повний текст джерелаAtif, Muhammad. "Adaptive Resource Relocation in Virtualized Heterogeneous Clusters." Phd thesis, 2010. http://hdl.handle.net/1885/8234.
Повний текст джерелаЧастини книг з теми "Virtualization, Scheduling, Heterogeneous Clusters, High Performance Computing"
Teodoro, George. "Efficient Execution of Dataflows on Parallel and Heterogeneous Environments." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 1–17. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2533-4.ch001.
Повний текст джерелаТези доповідей конференцій з теми "Virtualization, Scheduling, Heterogeneous Clusters, High Performance Computing"
Sajjapongse, Kittisak, Tejaswi Agarwal, and Michela Becchi. "A flexible scheduling framework for heterogeneous CPU-GPU clusters." In 2014 21st International Conference on High Performance Computing (HiPC). IEEE, 2014. http://dx.doi.org/10.1109/hipc.2014.7116892.
Повний текст джерелаZhu, Xiaomin, and Peizhong Lu. "A Multi-dimensional Scheduling Scheme for QoS-Aware Real-Time Applications on Heterogeneous Clusters." In 2008 10th IEEE International Conference on High Performance Computing and Communications (HPCC). IEEE, 2008. http://dx.doi.org/10.1109/hpcc.2008.61.
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