Body bias control for a coarse grained reconfigurable accelerator implemented with Silicon on Thin BOX technology. - Honlian Su; Yu Fujita; Hideharu Amano (FPL, 2014)

Image processing by A 0.3V 2MW coarse-grained reconfigurable accelerator CMA-SOTB with a solar battery. - Yu Fujita; Koichiro Masuyama; Hideharu Amano (FPT, 2014)

A Thermal Management System for Building Block Computing Systems. - Yu Fujita; Kimiyoshi Usami; Hideharu Amano (MCSoC, 2014)

7MOPS/lemon-battery image processing demonstration with an ultra-low power reconfigurable accelerator CMA-SOTB-2. - Koichiro Masuyama; Yu Fujita; Hayate Okuhara; Hideharu Amano (FPL, 2015)

Power Optimization Considering the Chip Temperature of Low Power Reconfigurable Accelerator CMA-SOTB. - Yu Fujita; Hayate Okuhara; Koichiro Masuyama; Hideharu Amano (CANDAR, 2015)

An optimal power supply and body bias voltage for a ultra low power micro-controller with silicon on thin box MOSFET. - Hayate Okuhara; Kuniaki Kitamori; Yu Fujita; Kimiyoshi Usami; Hideharu Amano (ISLPED, 2015)

3D Shared Bus Architecture Using Inductive Coupling Interconnect. - Akio Nomura; Yu Fujita; Hiroki Matsutani; Hideharu Amano (MCSoC, 2015)

A 297mops/0.4mw ultra low power coarse-grained reconfigurable accelerator CMA-SOTB-2. - Koichiro Masuyama; Yu Fujita; Hayate Okuhara; Hideharu Amano (ReConFig, 2015)

Body bias grain size exploration for a coarse grained reconfigurable accelerator. - Yusuke Matsushita 001; Hayate Okuhara; Koichiro Masuyama; Yu Fujita; Ryuta Kawano; Hideharu Amano (FPL, 2016)

Body Bias Domain Partitioning Size Exploration for a Coarse Grained Reconfigurable Accelerator. - Yusuke Matsushita 001; Hayate Okuhara; Koichiro Masuyama; Yu Fujita; Ryuta Kawano; Hideharu Amano (IEICE Trans. Inf. Syst., 2017)

Power Optimization Methodology for Ultralow Power Microcontroller With Silicon on Thin BOX MOSFET. - Hayate Okuhara; Yu Fujita; Kimiyoshi Usami; Hideharu Amano (IEEE Trans. Very Large Scale Integr. Syst., 2017)

Space-variant Color Point Cloud Measurement System - Enomous Data Reduction using Saliency Map -. - Sota Shimizu; Yu Fujita; Naoaki Kameyama; Nobuyuki Hasebe (AMC, 2020)