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Approximation Algorithm for Scheduling Applications on Hybrid Multi-core Machines with Communications Delays

机译:具有通信延迟的混合多核机器上的调度应用近似算法

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This paper presents an efficient algorithm with performance guarantee (approximation algorithm) to solve task scheduling problem on hybrid platform. The underlying platform architecture in this work is composed by two types of resources CPU and GPU, often called hybrid parallel multi-core platforms. We consider here for each type of resource identical nodes with communications delays. We focus in finding a generic approach to schedule applications presented by DAG (Directed Acyclic Graph) that minimizes makespan by considering communication delay between processors and tasks. A 6-approximation scheduling algorithm is proposed and evaluated in comparison to exact solutions and to another method. We demonstrate that the proposed algorithm achieves a close-to-optimal performance. Finally, our algorithm has been experimented on a large number of instances. These tests assess the good practical behavior of the algorithms with respect to the state-of-the-art solutions whenever these exist.
机译:本文介绍了一种高效的算法,具有性能保证(近似算法)来解决混合平台的任务调度问题。本工作中的底层平台架构由两种类型的资源CPU和GPU组成,通常称为混合并行多核平台。我们考虑在此考虑具有通信延迟的每种类型的资源相同节点。我们专注于查找通过考虑处理器和任务之间的通信延迟,调整DAG(定向非循环图)提出的应用程序提出的应用程序,该方法将最小化MakEsp。与精确的解决方案和另一种方法相比,提出了一种6近似调度算法和评估。我们证明所提出的算法实现了近似最佳性能。最后,我们的算法已经在大量实例上进行了实验。这些测试在存在时评估算法对最先进的解决方案的良好实际行为。

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