AbstractThe article considers the problem of planning computing tasks in hybrid supercomputer systems using the example of the Poly'/> Algorithms for planning Resource-Intensive computing tasks in a hybrid supercomputer environment for simulating the characteristics of a quantum rotation sensor and performing engineering calculations
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Algorithms for planning Resource-Intensive computing tasks in a hybrid supercomputer environment for simulating the characteristics of a quantum rotation sensor and performing engineering calculations

机译:用于在混合超级计算机环境中规划资源密集型计算任务的算法,用于模拟量子旋转传感器的特性并执行工程计算

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AbstractThe article considers the problem of planning computing tasks in hybrid supercomputer systems using the example of the Polytechnic Supercomputer Center. We have explored the classes of tasks using the distribution of calculations planning and shown their specific character when using hybrid supercomputer resources. With this in mind, we have developed the algorithms to optimize the use of resources of supercomputer systems. Furthermore, we have proposed an algorithm predicting task execution time taking into account the characteristics of the computation node and task parameters. Finally, after conducting the research we have compared the developed algorithms.]]>
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