Software Infrastructure for Enabling FPGA-Based Accelerations in Data Centers: Invited Paper

Jason Cong, Muhuan Huang, Peichen Pan, Di Wu, Peng Zhang

Abstract: This paper focuses on the development of an infrastructure to enable FPGA-based acceleration in data centers. We present an initial version of an integrated solution that includes automated compilation for accelerator generation, runtime accelerator resource scheduling and management, and acceleration libraries for FPGA-based customized computing for big data applications. The solution can help overcome some of the main challenges with FPGA-based accelerated computing. It has the potential to bring significant performance and energy efficiency improvement for data center applications.