构建可重构云生态系统

P. Chow
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引用次数: 0

摘要

微软已经明确提出了在云中大规模使用fpga的案例,英特尔也致力于通过收购Altera来利用硬件加速的优势。然而,我们仍然不能像使用基于软件的系统那样轻松地使用fpga,更不用说在云中轻松地大规模使用它了。高级合成是使fpga可访问的必要条件,但这是不够的。使fpga易于用于计算需要的不仅仅是开发可访问的工具来创建针对fpga的硬件。软件计算世界有很多被认为是理所当然的、有时是不可见的、好的开源基础设施,而这些基础设施在使用fpga作为计算设备时却缺失了。当我们想要在云的规模上使用fpga时,问题就变得复杂了。我将提出对一些公共基础设施和抽象层的需求,以支持大规模使用fpga进行计算,并描述多伦多大学的相关工作,这些工作可以为大规模使用和部署fpga的开源框架的开发做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building the Reconfigurable Cloud Ecosystem
Microsoft has clearly made the case for using FPGAs at scale in the cloud and Intel is committed to leveraging the benefits of hardware acceleration with their acquisition of Altera. However, we still cannot use FPGAs with the same ease we have with software-based systems, let alone do it easily at scale in the cloud. High-level synthesis is necessary for making FPGAs accessible, but it is not sufficient. Making FPGAs easy to use for computation requires more than developing accessible tools for creating hardware targeted for FPGAs. The software computing world has a lot of taken-for-granted, sometimes invisible and good open source infrastructure that is missing for using FPGAs as computing devices. The problem is compounded when we want to use FPGAs at the scale of the cloud. I will present the need for some common infrastructure and abstraction layers to support the use of FPGAs for computing at scale, and describe relevant work at the University of Toronto that can contribute towards the development of an open source framework for the use and deployment of FPGAs at scale.
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