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Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach

机译:异构系统体系结构中的运行时资源管理:SAVE方法

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Modern computing systems featuring different kinds of processing elements have proven to be efficient in terms of performance/energy trade-offs. Furthermore these systems usually have to execute multiple concurrent tasks without any apriori knowledge on expected arrival times, in an unpredictable and very dynamic environment. This scenario has propelled an interest towards self-adaptive systems that dynamically reorganize the use of system resources to optimize for a given goal. The SAVE project will develop a Heterogeneous System Architecture that will decide at runtime to execute task on the appropriate kind of resources, based on the current requirements. This paper presents a first implementation of a resource allocation policy that dynamically shares heterogeneous resources between multiple running applications. Resource allocation mechanisms are discussed and evaluated in an experimental campaign, showing how the policy helps in attaining users' applications goals.
机译:事实证明,具有不同类型处理元素的现代计算系统在性能/能源折衷方面是高效的。此外,这些系统通常必须在不可预测且非常动态的环境中执行多个并发任务,而无需任何先验知识就期望到达时间。这种情况引起了人们对自适应系统的兴趣,该系统可以动态地重新组织系统资源的使用以针对给定目标进行优化。 SAVE项目将开发一个异构系统架构,该架构将在运行时根据当前需求决定在适当类型的资源上执行任务。本文介绍了资源分配策略的第一个实现,该策略在多个运行的应用程序之间动态共享异构资源。在一项实验性活动中讨论并评估了资源分配机制,展示了该策略如何帮助实现用户的应用程序目标。

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