CnC-Python:具有高生产率的多核编程

ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity Pub Date : 2012-10-19 DOI:10.1145/2384716.2384763

S. Imam

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引用次数: 1

摘要

我们提出了CnC-Python (CP)，一种基于英特尔并发集合模型的隐式多核并行方法。CP使程序员能够以声明式的方式实现任务、数据和管道的并行性，而只需要将程序描述为具有单个节点的串行Python代码的协调图。

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CnC-Python: multicore programming with high productivity

We present CnC-Python (CP), an approach to implicit multicore parallelism based on Intel's Concurrent Collections model. CP enables programmers to achieve task, data and pipeline parallelism in a declarative fashion while only being required to describe the program as a coordination graph with serial Python code for individual nodes.

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ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity

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