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A novel framework for distributing computations. DisPyTE - distributing Python tasks environment

机译:一种用于分配计算的新颖框架。 DisPyTE-分发Python任务环境

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This paper proposes a novel framework for the distribution of concurrent tasks. DisPyTE (Distributing Python Tasks Environment) is written in the portable, interpreted programming language Python. It makes use of an event-driven, asynchronous network communication interface, which renders it especially well suited for application in heterogeneous network environments. After a short discussion on existing parallelization techniques, this paper illustrates the key principles of DisPyTE, including the main components and the call scheme. In a first example, it is demonstrated how DisPyTE can be used to distribute objective function evaluations in the scope of a heuristic optimization routine (genetic algorithm).
机译:本文提出了一种用于并行任务分配的新颖框架。 DisPyTE(分布式Python任务环境)是使用可移植的解释性编程语言Python编写的。它利用事件驱动的异步网络通信接口,这使其特别适合于异构网络环境中的应用。在对现有并行化技术进行简短讨论之后,本文说明了DisPyTE的关键原理,包括主要组件和调用方案。在第一个示例中,演示了如何在启发式优化例程(遗传算法)的范围内使用DisPyTE分配目标函数评估。

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