Coarse Grained FPGA Overlay for Rapid Just-In-Time Accelerator Compilation
Permanent link to this recordhttp://hdl.handle.net/10754/672090
MetadataShow full item record
AbstractCoarse-grained FPGA overlays built around the runtime programmable DSP blocks in modern FPGAs can achieve high throughput and improved scalability compared to traditional overlays built without detailed consideration of FPGA architecture. These overlays can be mapped to using higher level compilers, achieving fast compilation, software-like programmability and run-time management, and high-level design abstraction. OpenCL allows programs running on a host computer to launch accelerator kernels which can be compiled at run-time for a specific architecture, thus enabling portability. However, prohibitive hardware compilation times in traditional design flows mean that the tools cannot effectively use just-in-time (JIT) compilation or runtime performance scaling on FPGAs. We present an architecture-optimised FPGA overlay that exploits the capabilities of DSP blocks to maximise throughput and an associated design methodology for runtime compilation of dataflow graphs expressed as OpenCL kernels onto the overlays. The methodology benefits from the high level of abstraction afforded by using the OpenCL programming model, while the mapping to the overlay significantly reduces compilation and load times. Key characteristics of this work include highly performant DSP-optimized functional units that scale to large overlays on modern devices and the ability to perform automatic resource-aware kernel replication up to the size of the overlay for performance scaling. We demonstrate place and route times orders of magnitude better than traditional HLS flows, even when running on an embedded processor in the Xilinx Zynq.
CitationJain, A. K., Maskell, D. L., & Fahmy, S. A. (2021). Coarse Grained FPGA Overlay for Rapid Just-In-Time Accelerator Compilation. IEEE Transactions on Parallel and Distributed Systems, 1–1. doi:10.1109/tpds.2021.3116859
Except where otherwise noted, this item's license is described as This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.