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Yoshihiko Hotta

Publications

Citations

Publications by Year

20212022

Co-Authors:

Hiroyuki HamasakiLieske HannoTakahiro IritaTatsuya KameiMotoki Kimura

Show All Co-Authors (12)

Yoshihiko Hotta

Affiliation

Renesas Electronics Corporation, Tokyo, Japan

Publication Topics

Access Control,
Computer Vision Domain,
Computing Units,
Convolutional Neural Network,
Data Transfer,
Digital Signal Processing,
Error Detection,
Performance Of Convolutional Neural Networks,
Power Consumption,
Power Efficiency,
Safety Mechanism,
Advanced Driver Assistance Systems

Biography

Yoshihiko Hotta (Member, IEEE) received the B.S. degree from the University of Tsukuba, Tsukuba, Japan, in 2003, and the Ph.D. degree from the Graduate School of Systems and Information Engineering, University of Tsukuba, in 2008.,He joined Renesas Technology Corporation, Tokyo, in 2008, and moved to Renesas Electronics Corporation in 2010. He is currently a System Architect of automotive SoC products. His research interests include power-aware computing systems and high-performance computing systems.(Based on document published on 3 November 2021).

Publications

Citations

Publications by Year

20212022

Co-Authors:

Hiroyuki Hamasaki
Lieske Hanno
Takahiro Irita
Tatsuya Kamei
Motoki Kimura

Show All Co-Authors (12)

Author's Published Works

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Motoki Kimura(2)
Atsushi Nakamura(2)
Takahiro Irita(2)
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Manabu Koike(2)
Renesas Electronics, Kodaira, Japan(1)
Renesas Electronics Corporation, Tokyo, Japan(1)
Renesas Electronics, Dusseldorf, Germany(1)
Renesas Electronics Europe GmbH, Düsseldorf, Germany(1)
2021 IEEE International Solid-State Circuits Conference (ISSCC)(1)
IEEE Journal of Solid-State Circuits(1)
IEEE(2)
San Francisco, CA, USA(1)
Access Control(2)
Computer Vision Domain(2)
Computing Units(2)
Convolutional Neural Network(2)
Data Transfer(2)

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A 12-nm Autonomous Driving Processor With 60.4 TOPS, 13.8 TOPS/W CNN Executed by Task-Separated ASIL D Control

Katsushige Matsubara;Hanno Lieske;Motoki Kimura;Atsushi Nakamura;Manabu Koike;Shun Morikawa;Yoshihiko Hotta;Takahiro Irita;Seiji Mochizuki;Hiroyuki Hamasaki;Tatsuya Kamei

IEEE Journal of Solid-State Circuits

Year: 2022 | Volume: 57, Issue: 1 | Journal Article |

Cited by: Papers (4)

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This article proposes an automotive safety integrity level (ASIL) D, which is the highest automotive integrity level specified in ISO 26262, and a target application processor for driving automation systems with a high convolutional neural network (CNN) processing performance of 60.4 trillion operations per second (TOPS) with high power efficiency of 13.8 TOPS/W. To achieve both performance and po...Show More

A 12-nm Autonomous Driving Processor With 60.4 TOPS, 13.8 TOPS/W CNN Executed by Task-Separated ASIL D Control

Katsushige Matsubara;Hanno Lieske;Motoki Kimura;Atsushi Nakamura;Manabu Koike;Shun Morikawa;Yoshihiko Hotta;Takahiro Irita;Seiji Mochizuki;Hiroyuki Hamasaki;Tatsuya Kamei

IEEE Journal of Solid-State Circuits

Year: 2022 | Volume: 57, Issue: 1 | Journal Article |

4.2 A 12nm Autonomous-Driving Processor with 60.4TOPS, 13.8TOPS/W CNN Executed by Task-Separated ASIL D Control

Katsushige Matsubara;Lieske Hanno;Motoki Kimura;Atsushi Nakamura;Manabu Koike;Kazuaki Terashima;Shun Morikawa;Yoshihiko Hotta;Takahiro Irita;Seiji Mochizuki;Hiroyuki Hamasaki;Tatsuya Kamei

2021 IEEE International Solid-State Circuits Conference (ISSCC)

Year: 2021 | Conference Paper |

Cited by: Papers (10)

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Autonomous driving systems, when deployed to market, will require accurate and high-speed recognition, judgment and operation. Convolutional neural networks (CNNs) require large amounts of computation for pattern recognition. The CNN performance required for level-3 autonomous driving systems is 120TOPS or higher. As shown in Fig. 4.2.1, recent CNN implementations are oriented toward high performa...Show More

4.2 A 12nm Autonomous-Driving Processor with 60.4TOPS, 13.8TOPS/W CNN Executed by Task-Separated ASIL D Control

Katsushige Matsubara;Lieske Hanno;Motoki Kimura;Atsushi Nakamura;Manabu Koike;Kazuaki Terashima;Shun Morikawa;Yoshihiko Hotta;Takahiro Irita;Seiji Mochizuki;Hiroyuki Hamasaki;Tatsuya Kamei

2021 IEEE International Solid-State Circuits Conference (ISSCC)

Year: 2021 | Volume: 64 | Conference Paper |

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