Remote Execution in Distributed Memory MPSoC

Rémi Busseuil, Luciano Ost, Rafael Garibotti, G. Sassatelli, M. Robert
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引用次数: 1

Abstract

Message-passing is an increasingly popular design style for MPSoCs that usually results in systems that perform better compared to external shared-memory designs performance and power-wise, this because of much decreased data transfers with external memory. This scheme relies on explicit communications between processing tasks that participate in the application. Contrarily to shared-memory multiprocessors, tasks usually get assigned to processors at design-time. In order to cope with transient performance losses originating from various phenomena such as increased processing workload or peak traffic in the communication subsystem, various adaptation mechanisms based on task migration have been proposed in the literature. As Message-passing systems usually use PE-private memory architecture, these mechanisms imply migrating application code from processor to processor, which incurs penalty in performance and power consumption. This paper proposes a local shared-memory strategy in which processors execute code hosted in a remote processor.
分布式内存MPSoC中的远程执行
消息传递是mpsoc中越来越流行的设计风格,与外部共享内存设计相比,消息传递通常会使系统在性能和功耗方面表现更好,这是因为外部内存的数据传输大大减少。该方案依赖于参与应用程序的处理任务之间的显式通信。与共享内存多处理器相反,任务通常在设计时分配给处理器。为了应对通信子系统中处理工作量增加或流量峰值等各种现象造成的瞬时性能损失,文献中提出了各种基于任务迁移的自适应机制。由于消息传递系统通常使用pe私有内存体系结构,这些机制意味着将应用程序代码从一个处理器迁移到另一个处理器,这会导致性能和功耗方面的损失。本文提出了一种本地共享内存策略,其中处理器执行驻留在远程处理器中的代码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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