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Adaptivity Support for MPSoCs Based on Process Migration in Polyhedral Process Networks

机译:基于多面过程网络中过程迁移的MPSoC适应性支持

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System adaptivity is becoming an important featureof modern embedded multiprocessor systems. To achieve thegoal of system adaptivity when executing Polyhedral ProcessNetworks (PPNs) on a generic tiled Network-on-Chip (NoC)MPSoC platform, we propose an approach to enable the run-timemigration of processes among the available platform resources. Inour approach, process migration is allowed by a middleware layerwhich comprises two main components. The first componentconcerns the inter-tile data communication between processes. We develop and evaluate a number of different communicationapproaches which implement the semantics of the PPN modelof computation on a generic NoC platform. The presentedcommunication approaches do not depend on the mappingof processes and have been implemented on a Network-on-Chip multiprocessor platform prototyped on an FPGA. Theircomparison in terms of the introduced overhead is presented intwo case studies with different communication characteristics. The second middleware component allows the actual run-timemigration of PPN processes. To this end, we propose and evaluatea process migration mechanism which leverages the PPN modelof computation to guarantee a predictable and efficient migrationprocedure. The efficiency and applicability of the proposedmigration mechanism is shown in a real-life case study.
机译:系统适应性正在成为现代嵌入式多处理器系统的重要特征。为了在通用分片式片上网络(NoC)MPSoC平台上执行多面过程网络(PPN)时达到系统适应性的目标,我们提出了一种在可用平台资源之间实现进程运行时迁移的方法。在我们的方法中,流程迁移是由包含两个主要组件的中间件层允许的。第一部分涉及进程之间的块间数据通信。我们开发和评估了许多不同的通信方法,这些方法在通用NoC平台上实现了PPN计算模型的语义。所呈现的通信方法不依赖于过程的映射,并且已经在原型为FPGA的片上网络多处理器平台上实现。在引入的开销方面进行了比较,在两个具有不同通信特性的案例研究中进行了比较。第二个中间件组件允许PPN进程的实际运行时迁移。为此,我们提出并评估了一种流程迁移机制,该机制利用PPN计算模型来保证可预测和有效的迁移过程。实际案例研究显示了拟议移民机制的效率和适用性。

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