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Heterogeneous exascale supercomputing: The role of CAD in the exaFPGA project

机译:异构百亿亿次超级计算:CAD在exaFPGA项目中的作用

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Since the end of Moore's law is limiting the growth of general purpose processors, High Performance Processing (HPC) systems are considering FPGA-based accelerators as a promising solution for several application fields. However, their employment poses challenges the research is still tackling, and existing tools and workflows do not naturally adapt to the scale and complexity of HPC domains. To help researchers and practitioners, this paper proposes CAOS, a platform that implements an FPGA development workflow tailored to HPC systems while being open to external contributions. Indeed, researchers and developers can plug into CAOS to experiment and compare their solutions at each step of the design flow. This paper describes the CAOS workflow and validates it against several case studies to assess its generality and highlight possible research contributions.
机译:由于摩尔定律的终结限制了通用处理器的增长,因此高性能处理(HPC)系统正在考虑将基于FPGA的加速器作为针对多个应用领域的有希望的解决方案。然而,他们的就业提出了仍在研究中的挑战,并且现有的工具和工作流程无法自然地适应HPC域的规模和复杂性。为了帮助研究人员和从业者,本文提出了CAOS,该平台可实现针对HPC系统量身定制的FPGA开发工作流程,同时对外部开放。实际上,研究人员和开发人员可以在设计流程的每个步骤中插入CAOS进行实验并比较其解决方案。本文介绍了CAOS工作流程,并通过几个案例研究对其进行了验证,以评估其普遍性并突出可能的研究贡献。

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