Aspect-Oriented Parallel Discrete Optimization on the Cohesion Desktop Grid Platform

W. Blochinger, C. Dangelmayr, S. Schulz
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引用次数: 18

Abstract

This paper deals with our novel Desktop Grid platform Cohesion, which is designed to lay the system-level foundations for advanced parallel programming models and application specific frameworks. Cohesion specifically integrates functionality for parallel computing, e.g. a scalable group model and methods for collective communication. It is designed as an extensible layered architecture built around an industrial strength microkernel component. As an initial use case, we present an aspect-oriented framework for parallel discrete optimization built on top of Cohesion.
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内聚桌面网格平台上面向方面的并行离散优化
本文讨论了我们新颖的桌面网格平台内聚,该平台旨在为高级并行编程模型和特定于应用程序的框架奠定系统级基础。内聚特别集成了并行计算的功能,例如可扩展的组模型和集体通信的方法。它被设计为围绕工业强度微内核组件构建的可扩展分层体系结构。作为一个初始用例,我们提出了一个基于内聚的并行离散优化的面向方面框架。
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