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Hayate Okuhara
Hayate Okuhara
Verified email at nus.edu.sg
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Year
An optimal power supply and body bias voltage for a ultra low power micro-controller with silicon on thin box MOSFET
H Okuhara, K Kitamori, Y Fujita, K Usami, H Amano
2015 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2015
242015
Real chip evaluation of a low power CGRA with optimized application mapping
T Kojima, N Ando, Y Matshushita, H Okuhara, NAV Doan, H Amano
Proceedings of the 9th International Symposium on Highly-Efficient …, 2018
222018
A 297mops/0.4 mw ultra low power coarse-grained reconfigurable accelerator CMA-SOTB-2
K Masuyama, Y Fujita, H Okuhara, H Amano
2015 International Conference on ReConFigurable Computing and FPGAs …, 2015
222015
Variable pipeline structure for coarse grained reconfigurable array cma
N Ando, K Masuyama, H Okuhara, H Amano
2016 International Conference on Field-Programmable Technology (FPT), 217-220, 2016
192016
Body bias grain size exploration for a coarse grained reconfigurable accelerator
Y Matsushita, H Okuhara, K Masuyama, Y Fujita, R Kawano, H Amano
2016 26th International Conference on Field Programmable Logic and …, 2016
182016
Power optimization methodology for ultralow power microcontroller with silicon on thin BOX MOSFET
H Okuhara, Y Fujita, K Usami, H Amano
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25 (4 …, 2016
172016
Asymmetric body bias control with low-power fd-soi technologies: Modeling and power optimization
H Okuhara, AB Ahmed, JM Kühn, H Amano
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (7 …, 2018
152018
Digitally assisted on-chip body bias tuning scheme for ultra low-power VLSI systems
H Okuhara, AB Ahmed, H Amano
IEEE Transactions on Circuits and Systems I: Regular Papers 65 (10), 3241-3254, 2018
142018
22.1 A 12.4 TOPS/W@ 136GOPS AI-IoT system-on-chip with 16 RISC-V, 2-to-8b precision-scalable DNN acceleration and 30%-boost adaptive body biasing
F Conti, D Rossi, G Paulin, A Garofalo, A Di Mauro, G Rutishauer, ...
2023 IEEE International Solid-State Circuits Conference (ISSCC), 21-23, 2023
132023
Flexible software-defined packet processing using low-area hardware
H Zolfaghari, D Rossi, W Cerroni, H Okuhara, C Raffaelli, J Nurmi
IEEE Access 8, 98929-98945, 2020
102020
Body bias optimization for variable pipelined CGRA
T Kojima, N Ando, H Okuhara, NAV Doan, H Amano
2017 27th International Conference on Field Programmable Logic and …, 2017
102017
Glitch-aware variable pipeline optimization for CGRAs
T Kojima, N Ando, H Okuhara, H Amano
2017 International Conference on ReConFigurable Computing and FPGAs …, 2017
82017
MuCCRA4-BB: A fine-grained body biasing capable DRP
JM Kühn, AB Ahmed, H Okuhara, H Amano, O Bringmann, W Rosenstiel
2016 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS XIX), 1-3, 2016
62016
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2–8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing
F Conti, G Paulin, A Garofalo, D Rossi, A Di Mauro, G Rutishauser, ...
IEEE Journal of Solid-State Circuits, 2023
52023
Analysis of Body Bias Control for Real Time Systems
CCC Torres, H Okuhara, AB Ahmed, N Yamasaki, H Amano
Workshop on Synthesis And System Integration of Mixed Information …, 2016
52016
A shared memory chip for twin-tower of chips
S Terashima, T Kojima, H Okuhara, Y Matsushita, N Ando, M Namiki, ...
IEICE Technical Report; IEICE Tech. Rep. 117 (273), 43-48, 2017
42017
Time Analysis of Applying Back Gate Bias for Reconfigurable Architectures with SOTB MOSFET
H Okuhara, H Amano
Proceedings of The 19th Workshop on synthesis And System Integration of …, 2015
42015
An energy-efficient low-voltage swing transceiver for mW-range IoT end-nodes
H Okuhara, A Elnaqib, D Rossi, A Di Mauro, P Mayer, P Palestri, L Benini
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
32020
7MOPS/lemon-battery image processing demonstration with an ultra-low power reconfigurable accelerator CMA-SOTB-2
K Masuyama, Y Fujita, H Okuhara, H Amano
2015 25th International Conference on Field Programmable Logic and …, 2015
32015
A Fully Integrated 5-mW, 0.8-Gbps Energy-Efficient Chip-to-Chip Data Link for Ultralow-Power IoT End-Nodes in 65-nm CMOS
H Okuhara, A Elnaqib, M Dazzi, P Palestri, S Benatti, L Benini, D Rossi
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29 (10 …, 2021
22021
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