High-Level Design for FPGAs and Embedded Systems

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Field-programmable gate arrays (FPGAs) are integrated circuits that can be programmed by an end user to implement any digital hardware circuit. A relatively new use of FPGAs is in compute acceleration, where parts of a computational algorithm are executed in software on a CPU and other parts are implemented as hardware accelerators in an FPGA. Accelerating an algorithm in this way offers an order of magnitude improvement over software running on a processor in terms of energy efficiency and/or performance for some applications. The development of such hybrid systems remains a challenge in the industry, requiring manual partitioning of algorithms into software and hardware, and manual coding of hardware using languages like Verilog or VHDL. The research in this proposed Discovery Grant is intended to improve the state-of-the-art in this area by automatically generating hybrid hardware/software implementations.