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Enabling shared memory communication in networks of MPSoCs

机译:在MPSoC网络中启用共享内存通信

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Ongoing transistor scaling and the growing complexity of embedded system designs has led to the rise of MPSoCs (Multi-Processor System-on-Chip), combining multiple hard-core CPUs and accelerators (FPGA, GPU) on the same physical die. These devices are of great interest to the supercomputing community,who are increasingly reliant on heterogeneity to achieve power and performance goals in these closing stages of the race to exascale. In this paper, we present a network interface architecture and networking infrastructure, designed to sit inside the FPGA fabric of a cutting-edgeMPSoCdevice, enablingnetworksof these devices tocommunicate within both a distributed and shared memory context, with reduced need for costly software networking system calls.We will present our implementation and prototype system and discuss the main design decisions relevant to the use of the Xilinx ZynqUltrascale+, a state-of-the-art MPSoC, and the challenges to be overcome given the device's limitations and constraints. We demonstrate the working prototype system connecting two MPSoCs, with communication between processor and remote memory region and accelerator. We then discuss the limitations of the current implementation and highlight areas of improvement tomake this solution production-ready.
机译:不断进行的晶体管缩放和嵌入式系统设计的日益复杂性导致MPSoC(多处理器片上系统)的兴起,将多个硬核CPU和加速器(FPGA,GPU)组合在同一物理芯片上。这些设备引起了超级计算界的极大兴趣,他们越来越依赖于异构性,以在百亿亿美元竞赛的最后阶段达到功率和性能目标。在本文中,我们介绍了一种网络接口体系结构和网络基础结构,旨在位于最先进的MPSoC器件的FPGA架构中,使这些设备的网络能够在分布式和共享内存环境中进行通信,从而减少了对昂贵的软件网络系统调用的需求。我们将介绍我们的实现和原型系统,并讨论与最新的MPSoC Xilinx ZynqUltrascale +的使用有关的主要设计决策,以及鉴于器件的局限性和局限性而应克服的挑战。我们演示了连接两个MPSoC的有效原型系统,并在处理器与远程存储器区域和加速器之间进行了通信。然后,我们讨论当前实施的局限性,并重点说明需要改进的地方,以使该解决方案可以投入生产。

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