A vector coprocessor architecture for embedded systems. - Yi Ge; Yoshimasa Takebe; Masahiko Toichi; Makoto Mouri; Makiko Ito; Yoshio Hirose; Hiromasa Takahashi (ISOCC, 2011)

A novel processor design flow using processor description language applied to a vector coprocessor. - Makiko Ito; Mitsuru Tomono; Yi Ge; Yoshimasa Takebe; Masahiko Toichi; Makoto Mouri; Yoshio Hirose (VLSI-DAT, 2013)

An energy-efficient SIMD DSP with multiple VLIW configurations and an advanced memory access unit for LTE-A modem LSIs. - Mitsuru Tomono; Makiko Ito; Yoshitaka Nomura; Makoto Mouri; Yoshio Hirose (ICMV, 2015)

Real-Time Human Pose Estimation via Cascaded Neural Networks Embedded with Multi-task Learning. - Satoshi Tanabe; Ryosuke Yamanaka; Mitsuru Tomono; Makiko Ito; Teruo Ishihara (CAIP (2), 2017)

Deep Learning Approach for Pathogen Detection Through Shotgun Metagenomics Sequence Classification. - Ying-Feng Hsu; Makiko Ito; Takumi Maruyama; Morito Matsuoka; Nicolas Jung; Yuki Matsumoto; Daisuke Motooka; Shota Nakamura (AIME, 2019)

High-Performance Virus Detection System by using Deep Learning. - Ying-Feng Hsu; Makiko Ito; Takumi Maruyama; Morito Matsuoka; Nicolas Jung; Yuki Matsumoto; Daisuke Motooka; Shota Nakamura (CEC, 2020)

Training Deep Neural Networks in 8-bit Fixed Point with Dynamic Shared Exponent Management. - Hisakatsu Yamaguchi; Makiko Ito; Katsuhiro Yoda; Atsushi Ike (DATE, 2021)

Memory Bandwidth Conservation for SpMV Kernels Through Adaptive Lossy Data Compression. - Siyi Hu; Makiko Ito; Takahide Yoshikawa; Yuan He 002; Masaaki Kondo (PDCAT, 2022)

Out-of-Step Pipeline for Gather/Scatter Instructions. - Yi Ge; Katsuhiro Yoda; Makiko Ito; Toshiyuki Ichiba; Takahide Yoshikawa; Ryota Shioya; Masahiro Goshima (DATE, 2023)

Adaptive Lossy Data Compression Extended Architecture for Memory Bandwidth Conservation in SpMV. - Siyi Hu; Makiko Ito; Takahide Yoshikawa; Yuan He 002; Hiroshi Nakamura; Masaaki Kondo (IEICE Trans. Inf. Syst., 2023)