管理多核soc在空间和时间上的异构性

Andreas F. Hofmann, K. Waldschmidt, Jan Haase
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引用次数: 3

摘要

近年来fpga的动态重构是实现片上系统(soc)自适应行为的重要一步。这些动态可重构的系统为设计空间增加了另一个自由度。当使用具有不同体系结构的处理元素重新配置时,异构性也跨越了时间维度。现在,问题出现了,如何在运行时管理这种类型的异构。本文分析了这种自适应SoC所面临的挑战。我们展示了SDVM(可扩展数据流驱动的虚拟机)满足了基于fpga实现的许多要求,该虚拟机已在工作站集群上成功实现并进行了测试。专注于运行时重新配置,SDVM已经发展成为基于fpga的多核系统的虚拟化层,现在称为SDVM。这个虚拟化层允许对底层硬件进行透明的运行时重新配置,从而降低了应用程序所看到的系统时间异质性的复杂性。
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SDVMR – managing heterogeneity in space and time on multicore SoCs
The dynamic reconfiguration of recent FPGAs offers an important step to adaptive behavior of Systems-on-Chip (SoCs). These dynamically reconfigurable systems add another degree of freedom to the design space. When a processing element gets reconfigured using one with a different architecture, heterogeneity spans the temporal dimension, too. Now, the question arises how could this type of heterogeneity be managed at run time. This paper analyzes the challenges of such an adaptive SoC. We show that many of the requirements for an FPGA-based realization are met by the SDVM, the Scalable Dataflow-driven Virtual Machine which has been successfully implemented and tested on a cluster of workstations. Focusing on run time reconfiguration, the SDVM has evolved to a virtualization layer for multicore systems based on FPGAs, now called SDVMR. This virtualization layer allows for a transparent run time reconfiguration of the underlying hardware reducing the complexity of the system's temporal heterogeneity as seen by the application.
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