Parallel Computing of Discrete Element Method on GPU - Teruyoshi Washizawa; Yasuhiro Nakahara (CoRR, 2013)

Accelerating DEM simulations on GPUs by reducing the impact of warp divergences. - Yasuhiro Nakahara; Teruyoshi Washizawa (CoRR, 2015)

A Quantized Neural Network Library for Proper Implementation of Hardware Emulation. - Masato Kiyama; Yasuhiro Nakahara; Motoki Amagasaki; Masahiro Iida (CANDAR Workshops, 2019)

A Microcode-based Control Unit for Deep Learning Processors. - Qian Zhao 001; Yasuhiro Nakahara; Motoki Amagasaki; Masahiro Iida; Takaichi Yoshida (IPDPS Workshops, 2020)

Relationship between Recognition Accuracy and Numerical Precision in Convolutional Neural Network Models. - Yasuhiro Nakahara; Masato Kiyama; Motoki Amagasaki; Masahiro Iida (IEICE Trans. Inf. Syst., 2020)

Automatic executable code generation for DNN accelerator ReNA. - Yuta Masuda; Yasuhiro Nakahara; Motoki Amagasaki; Masahiro Iida (CANDAR (Workshops), 2021)

Reconfigurable Neural Network Accelerator and Simulator for Model Implementation. - Yasuhiro Nakahara; Masato Kiyama; Motoki Amagasaki; Qian Zhao 001; Masahiro Iida (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

A Posit Based Multiply-accumulate Unit with Small Quire Size for Deep Neural Networks. - Yasuhiro Nakahara; Yuta Masuda; Masato Kiyama; Motoki Amagasaki; Masahiro Iida (IPSJ Trans. Syst. LSI Des. Methodol., 2022)