Abstract
As memory accesses increasingly limit the overall performance of reconfigurable accelerators, it is important for high level synthesis (HLS) flows to discover and exploit memory-level parallelism. This paper develops 1) a framework where parallelism between memory accesses can be revealed from runtime profile of applications and provided to a high level synthesis flow, and 2) a novel multi-accelerator/multi-cache architecture to support parallel memory accesses, taking advantage of the high aggregated memory bandwidth found in modern FPGA devices. Our experimental results have shown that for 10 accelerators generated from 9 benchmark applications, circuits using our proposed memory structure achieve on average 52% improved performance over accelerators using a traditional memory interface. We believe that our study represents a solid advance towards achieving memory-parallel embedded computing on hybrid CPU+FPGA platforms.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.