A Hardware-Oriented Random Number Generation Method and A Verification System for FPGA
S. Hori, Hakaru Tamukoh · Proceedings of International Conference on Artificial Life and Robotics · 2021
Deep learning technology has made remarkable progress in recent years and has been applied to a variety of applications such as smartphones and cloud servers.These systems employ dedicated processors to save power consumptions and process massive data.In this paper, we introduce a hardware-oriented restricted Boltzmann machine and propose a field-programmable gate array (FPGA) infrastructure for easy verification of user circuits.The infrastructure makes it easy to communicate and control between the host PC and the user circuit.