Live Migration for OpenCL FPGA Accelerators
Anuj Vaishnav, Khoa Dang Pham, Dirk Koch · 2018
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.