AXI HyperConnect: A Predictable, Hypervisor-level Interconnect for Hardware Accelerators in FPGA SoC

Francesco Restuccia, Alessandro Biondi, Mauro Marinoni, Giorgiomaria Cicero, G. Buttazzo
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引用次数: 29

Abstract

FPGA-based system-on-chips (SoC) are powerful computing platforms to implement mixed-criticality systems that require both multiprocessing and hardware acceleration. Virtualization via hypervisor technologies is, de-facto, an effective technique to allow the co-existence of multiple execution domains with different criticality levels in isolation upon the same platform. Implementing such technologies on FPGA-based SoC poses new challenges: one of such is the isolation of hardware accelerators deployed on the FPGA fabric that belong to different domains but share common resources such as a memory bus. This paper proposes AXI HyperConnect, a hypervisor-level hardware component that allows interconnecting hardware accelerators to the same bus while ensuring isolation and predictability features. AXI HyperConnect has been implemented on modern FPGA-SoC by Xilinx and tested with real-world accelerators, including one for Deep Neural Network inference.
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AXI HyperConnect: FPGA SoC中硬件加速器的可预测的管理程序级互连
基于fpga的片上系统(SoC)是实现需要多处理和硬件加速的混合临界系统的强大计算平台。实际上,通过hypervisor技术实现虚拟化是一种有效的技术,它允许在同一平台上隔离地共存具有不同临界级别的多个执行域。在基于FPGA的SoC上实现这些技术带来了新的挑战:其中之一是部署在FPGA结构上的硬件加速器的隔离,这些硬件加速器属于不同的领域,但共享公共资源,如内存总线。本文提出了AXI HyperConnect,这是一个管理程序级别的硬件组件,允许将硬件加速器互连到同一总线,同时确保隔离和可预测性。AXI HyperConnect已在赛灵思的现代FPGA-SoC上实现,并在现实世界的加速器上进行了测试,其中包括深度神经网络推理加速器。
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