A multi-tenant resource management system for multi-FPGA systems

Miho Yamakura, Ryousei Takano, Akram Ben Ahmed, Midori Sugaya, Hideharu Amano

Research output: Contribution to journalArticlepeer-review

Abstract

FPGA (Field Programmable Gate Array) based accelerators are attracting significant interest in cloud computing systems. Combining multi-FPGA systems with cloud computing brings a new perspective to the reconfigurable computing research. However, the multi-tenancy of a multi-FPGA system has not been fully discussed in the previous researches. In this paper, we propose a multi-tenant resource management system, named FiC-RM, for a multi-FPGA cloud system. FiC-RM provides users with a set of FPGA resources according to their requirements and allows them to exclusively access FPGA boards and the interconnection network. To achieve this, we propose a placement algorithm which is a key to efficiently share the limited resources. We demonstrate FiC-RM controls a practical scale multi-FPGA system. Moreover, Our simulation study shows that our placement algorithm achieved 3 to 4% improvement in the average resource usage and a 20-second reduction in the response time, compared to other existing naive algorithms.

Original languageEnglish
Pages (from-to)2078-2088
Number of pages11
JournalIEICE Transactions on Information and Systems
VolumeE104D
Issue number12
DOIs
Publication statusPublished - 2021

Keywords

  • FPGA
  • Multi-FPGA
  • Multi-tenant

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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