OpenCL FPGA加速器的实时迁移

Anuj Vaishnav, K. Pham, Dirk Koch
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引用次数: 7

摘要

由于其性能和功耗优势,fpga目前被大规模部署在各种数据中心应用中。特别是,云服务运营商现在提供fpga即服务。然而,要将fpga完全集成到像标准软件系统这样的数据中心环境中,对容错和任务迁移的支持是必不可少的。在本文中,我们提出了一种FPGA加速器的实时迁移技术,以提供容错、系统维护和资源管理的支持。我们的技术不仅可以在单个FPGA内迁移OpenCL加速器,还可以跨FPGA零停机时间迁移。它通过将计算与来自OpenCL内核的用户的数据移动透明地重叠来实现这一点。此外,分布式检查点机制可以用于从未知错误中恢复,同时将已完成工作的损失降到最低。总之,它可以在不中断服务的情况下进行系统更新,例如更改静态FPGA配置或升级操作系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Live Migration for OpenCL FPGA Accelerators
FPGAs are currently being deployed at a large scale across data-centres for various applications because of their performance and power benefits. In particular, cloud service operators are now offering FPGAs as a Service. However, to completely integrate FPGAs in a data-centre environment like standard software systems, support for fault tolerance and task migration is essential. In this paper, we propose a live migration technique for FPGA accelerators to provide support for fault tolerance, system maintenance, and resource management. Our technique allows migration of OpenCL accelerators not only within a single FPGA but also across FPGAs with zero downtime. It achieves this by overlapping the computation with datamovements transparently from the user for OpenCL kernels. Moreover, distributed check-pointing mechanisms can be employed to recover from unknown faults with minimal loss of completed work. Altogether it enables system updates such as changing the static FPGA configuration or upgrading the OS without an interruption of service.
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