Hardware Acceleration of EDA Algorithms- P1: Single-threaded software applications have ceased to see significant gains in performance on a general-purpose CPU, even with further scaling in very large scale integration (VLSI) technology. This is a significant problem for electronic design automation (EDA) applications, since the design complexity of VLSI integrated circuits (ICs) is continuously growing. In this research monograph, we evaluate custom ICs, field-programmable gate arrays (FPGAs), and graphics processors as platforms for accelerating EDA algorithms, instead of the general-purpose singlethreaded CPU | Kanupriya Gulati Sunil P. Khatri Hardware Acceleration of EDA Algorithms Custom ICs FPGAs and GPUs Ö Springer Hardware Acceleration of EDA .
