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A placer for composable FPGA with 2D mesh network

机译:具有2D网状网络的可组合FPGA的布局器

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摘要

FPGAs are predominantly used for acceleration of computationally intensive algorithmic kernels. The ubiquitous co-processor abstraction, in which an application offloads such kernels to the FPGA, does not scale with current and future architectural advancements in FPGA technology. The rapid march of fabrication technology into the sub-micron era has resulted in packing of multiple blocks of programmable resources such as hard CPU cores, DSP modules, and fast multipliers on contemporary FPGA. Optimisation benefits from these advancements and the unique advantage of programmability have made FPGA an attractive alternative for complex system on chip (SoC) designs over other solutions. Adoption of the co-processor model in current generation of programmable architectures relegates the hard problem of hardware abstraction to the application and hence, the programmer. We propose a FPGA abstraction with native 2D-mesh network in order to improve the run time reconfigurability of multiple accelerators. In this paper, we describe a composable FPGA virtualisation framework to wean away the dependence of FPGA applications on the co-processor model. A novel run time placement algorithm, which minimises the communication energy between the accelerator modules, is evaluated on an embedded video application to demonstrate the placement efficiency in our framework.
机译:FPGA主要用于加速计算密集型算法内核。普遍存在的协处理器抽象(其中应用程序将此类内核卸载到FPGA)无法随FPGA技术的当前和未来架构进步而扩展。制造技术飞速发展到亚微米时代,已导致在现代FPGA上打包多个可编程资源块,例如硬核CPU内核,DSP模块和快速乘法器。这些进步带来的优化优势以及可编程性的独特优势使FPGA成为了复杂的片上系统(SoC)设计优于其他解决方案的诱人替代品。在当前一代的可编程体系结构中采用协处理器模型将硬件抽象的棘手问题归咎于应用程序以及程序员。为了提高多个加速器的运行时可重配置性,我们提出了带有原生2D-mesh网络的FPGA抽象。在本文中,我们描述了一种可组合的FPGA虚拟化框架,以消除FPGA应用程序对协处理器模型的依赖。在嵌入式视频应用程序上评估了一种新颖的运行时放置算法,该算法将加速器模块之间的通信能量降至最低,以证明在我们的框架中的放置效率。

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