Energy efficiency of FPGAs and programmable processors for matrix multiplication

Advances in their technologies have positioned FPGAs and embedded processors to compete with digital signal processors (DSPs). In this paper, we evaluate the performance in terms of both latency and energy-efficiency of FPGAs, embedded processors, and DSPs in multiplying two n × n matrices. As specific examples, we have chosen a representative of each type of device. Our results show that the FPGAs can multiply two n × n matrices with both lower latency and lower energy consumption than the other two types of devices. This makes FPGAs the ideal choice for matrix multiplication in signal processing applications.