嵌入式可重构体系结构的早期成果

Stephan Wong, Anthony Brandon, Fakhar Anjam, Roel Seedorf, R. Giorgi, Zhibin Yu, Nikola Puzovic, S. Mckee, Magnus Sjalander, L. Carro, G. Keramidas
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引用次数: 13

摘要

嵌入式系统日益增长的复杂性和多样性,以及对更高性能和更低功耗的持续需求,给嵌入式平台设计人员带来了越来越大的压力。为了解决这些问题,嵌入式可重构架构项目(ERA)研究了硬件和工具的创新,以创建下一代嵌入式系统。利用自适应硬件可以在给定的功率预算下实现最大性能。我们通过结构化的方法来设计我们的平台,该方法允许集成可重构的计算元素、网络结构和内存层次结构组件。商业上可用的现成处理器与其他专有的和特定于应用程序的专用内核相结合。这些计算和网络元素可以调整它们的组成、组织甚至指令集体系结构,以便为给定的应用程序提供性能和功率方面的最佳折衷。同样,网络元素、拓扑结构和内存层次结构组织可以在设计时静态地选择,也可以在运行时动态地选择。硬件细节向操作系统、运行时系统、编译器和应用程序公开。这种组合支持高效嵌入式系统设计的快速平台原型。我们的设计理念支持灵活调整所有这些硬件元素的自由,从而实现比当前艺术状态所提供的更好的功率/性能权衡选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early results from ERA — Embedded Reconfigurable Architectures
The growing complexity and diversity of embedded systems — combined with continuing demands for higher performance and lower power consumption — place increasing pressure on embedded platforms designers. To address these problems, the Embedded Reconfigurable Architectures project (ERA), investigates innovations in both hardware and tools to create next-generation embedded systems. Leveraging adaptive hardware enables maximum performance for given power budgets. We design our platform via a structured approach that allows integration of reconfigurable computing elements, network fabrics, and memory hierarchy components. Commercially available, off-the-shelf processors are combined with other proprietary and application-specific, dedicated cores. These computing and network elements can adapt their composition, organization, and even instruction-set architectures in an effort to provide the best possible trade-offs in performance and power for the given application(s). Likewise, network elements and topologies and memory hierarchy organization can be selected both statically at design time and dynamically at run-time. Hardware details are exposed to the operating system, run-time system, compiler, and applications. This combination supports fast platform prototyping of high-efficient embedded system designs. Our design philosophy supports the freedom to flexibly tune all these hardware elements, enabling a better choice of power/performance trade-offs than that afforded by the current state of the art.
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