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A 12.4TOPS/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. Mauro, G. Rutishauser, G. Ottavi, M. Eggimann, H. Okuhara, V. Huard, O. Montfort, L. Jure, N. Exibard, P. Gouedo, M. Louvat, E. Botte, and L. Benini. ISSCC, page 326-327. IEEE, (2023)

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7MOPS/lemon-battery image processing demonstration with an ultra-low power reconfigurable accelerator CMA-SOTB-2.K. Masuyama, Y. Fujita, H. Okuhara, and H. Amano. FPL, page 1. IEEE, (2015)A 0.5GHz 0.35mW LDO-Powered Constant-Slope Phase Interpolator With 0.22% INL.A. Elnaqib, H. Okuhara, T. Jang, D. Rossi, and L. Benini. IEEE Trans. Circuits Syst. II Express Briefs, 68 (1): 156-160 (2021)Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing.F. Conti, G. Paulin, D. Rossi, A. Mauro, G. Rutishauser, G. Ottavi, M. Eggimann, H. Okuhara, and L. Benini. CoRR, (2023)Body Bias Control on a CGRA based on Convex Optimization.T. Kojima, H. Okuhara, M. Kondo, and H. Amano. COOL CHIPS, page 1-3. IEEE, (2022)Multi-objective Optimization for Application Mapping and Body Bias Control on a CGRA.N. Doan, Y. Matsushita, N. Ando, H. Okuhara, and H. Amano. MCSoC, page 143-150. IEEE Computer Society, (2017)Real Chip Evaluation of a Low Power CGRA with Optimized Application Mapping.T. Kojima, N. Ando, Y. Matshushita, H. Okuhara, N. Doan, and H. Amano. HEART, page 13:1-13:6. ACM, (2018)Flexible Software-Defined Packet Processing Using Low-Area Hardware.H. Zolfaghari, D. Rossi, W. Cerroni, H. Okuhara, C. Raffaelli, and J. Nurmi. IEEE Access, (2020)Digitally Assisted On-Chip Body Bias Tuning Scheme for Ultra Low-Power VLSI Systems.H. Okuhara, A. Ahmed, and H. Amano. IEEE Trans. Circuits Syst. I Regul. Pap., 65-I (10): 3241-3254 (2018)A leakage current monitor circuit using silicon on thin BOX MOSFET for dynamic back gate bias control.H. Okuhara, K. Usami, and H. Amano. COOL Chips, page 1-3. IEEE Computer Society, (2015)Body bias control for renewable energy source with a high inner resistance.K. Azegami, H. Okuhara, and H. Amano. COOL Chips, page 1-3. IEEE Computer Society, (2017)

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Disambiguation of "Okuhara, Hayate"

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A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing.

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Disambiguation of "Okuhara, Hayate"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing.

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A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing.