High-Level Design for FPGAs and Embedded Systems

现场可编程门阵列(FGA)是可由最终用户编程以实现任何数字硬件电路的集成电路。FPGA的一个相对较新的用途是在计算加速中，其中计算算法的部分在CPU上的软件中执行，而其他部分在FPGA中实现为硬件加速器。以这种方式加速算法在某些应用的能效和/或性能方面比在处理器上运行的软件提供了数量级的改进。这种混合系统的开发在行业中仍然是一个挑战，需要手动将算法划分为软件和硬件，并使用Verilog或VHDL语言手动编写硬件代码。这项拟议的发现拨款的研究旨在通过自动生成混合硬件/软件实现来提高该领域的最新水平。

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.