{"id":507263,"date":"2018-09-24T17:58:51","date_gmt":"2018-09-25T00:58:51","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=507263"},"modified":"2018-10-16T20:22:42","modified_gmt":"2018-10-17T03:22:42","slug":"the-feniks-fpga-operating-system-for-cloud-computing","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/the-feniks-fpga-operating-system-for-cloud-computing\/","title":{"rendered":"The Feniks FPGA Operating System for Cloud Computing"},"content":{"rendered":"
Driven by explosive demand on computing power and slowdown of Moore\u2019s law, cloud providers have started to deploy FPGAs into datacenters for workload offloading and acceleration. In this paper, we propose an operating system for FPGA, called Feniks, to facilitate large scale FPGA deployment in datacenters. Feniks provides abstracted interface for FPGA accelerators, so that FPGA developers can get rid of underlying hardware details. In addition, Feniks also provides (1) development and runtime environment for accelerators
\nto share an FPGA chip in efficient way; (2) direct access to server\u2019s resource like storage and coprocessor over PCIe bus; (3) an FPGA resource allocation framework throughout a datacenter. We implemented an initial prototype of Feniks on Catapult Shell and Altera Stratix V FPGA. Our experiments show that device-to-device communication over PCIe is feasible and efficient. A case study shows multiple accelerators can share an FPGA chip independently and efficiently.<\/p>\n","protected":false},"excerpt":{"rendered":"
Driven by explosive demand on computing power and slowdown of Moore\u2019s law, cloud providers have started to deploy FPGAs into datacenters for workload offloading and acceleration. In this paper, we propose an operating system for FPGA, called Feniks, to facilitate large scale FPGA deployment in datacenters. Feniks provides abstracted interface for FPGA accelerators, so that […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13547],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-507263","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"ACM","msr_edition":"ACM 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