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Hardware resource utilization optimization in FPGA-based Heterogeneous MPSoC architectures

机译:基于FPGA的异构MPSoC架构中的硬件资源利用优化

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Next generation FPGA circuits will allow the integration of dozens of hard and soft cores as well as dedicated accelerators in the same chip. These Heterogeneous Multiprocessor System-on-Chip (Ht-MPSoC) architectures will allow the design of very complex System-on-Chips (SoC) on a single FPGA chip and will fulfill modern application requirements, in terms of performance/energy consumption ratio. In this paper, we extend existing FPGA-based Ht-MPSoC architectures by considering sharing hardware accelerators among the cores. In these architectures, cores on the FPGA may have different resources that can be shared in different manners. To explore the large space of possible configurations of Ht-MPSoC on FPGA, designer needs a fast and accurate exploration tool. For this reason, a Mixed Integer Programming (MIP) model is also proposed to determine the Ht-MPSoC configuration that consumes the least HW resources while respecting the application execution time constraints. Using our MIP model, the design space of several hundreds of private and shared HW accelerators can be explored in a reasonable time with high accuracy. (c) 2015 Elsevier B.V. All rights reserved.
机译:下一代FPGA电路将允许在同一芯片中集成数十个硬核和软核以及专用加速器。这些异构的多处理器片上系统(Ht-MPSoC)架构将允许在单个FPGA芯片上设计非常复杂的片上系统(SoC),并在性能/能耗比方面满足现代应用程序的要求。在本文中,我们考虑了在内核之间共享硬件加速器,从而扩展了现有的基于FPGA的Ht-MPSoC架构。在这些架构中,FPGA上的内核可能具有不同的资源,可以通过不同的方式进行共享。为了探索FPGA上Ht-MPSoC可能配置的巨大空间,设计人员需要一种快速而准确的探索工具。由于这个原因,还提出了混合整数编程(MIP)模型来确定消耗最少硬件资源的Ht-MPSoC配置,同时遵守应用程序执行时间的限制。使用我们的MIP模型,可以在合理的时间内高精度地探索数百个私有和共享硬件加速器的设计空间。 (c)2015 Elsevier B.V.保留所有权利。

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