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ORCID25th COOL CHIPS 2022: Tokyo, Japan
- IEEE Symposium in Low-Power and High-Speed Chips, COOL CHIPS 2022, Tokyo, Japan, April 20-22, 2022. IEEE 2022, ISBN 978-1-6654-1989-5
- Dongseok Im, Gwangtae Park, Junha Ryu, Zhiyong Li
, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo:
A Low-power and Real-time 3D Object Recognition Processor with Dense RGB-D Data Acquisition in Mobile Platforms. 1-3 - Moritz Scherer, Alfio Di Mauro, Georg Rutishauser, Tim Fischer, Luca Benini:
A 1036 TOp/s/W, 12.2 mW, 2.72 μJ/Inference All Digital TNN Accelerator in 22 nm FDX Technology for TinyML Applications. 1-3 - Ken Nakamura, Yuya Omori, Daisuke Kobayashi, Koyo Nitta, Kimikazu Sano, Masayuki Sato, Hiroe Iwasaki, Hiroaki Kobayashi:
An Efficient Reference Image Sharing Method for the Parallel Video Encoding Architecture. 1-3 - Hoang Gia Vu, Ngoc-Dai Bui:
Encoder-based Many-Pattern Matching on FPGAs. 1-5 - Shine Parekkadan Sunny, Satyajit Das:
Reinforcement Learning based Efficient Mapping of DNN Models onto Accelerators. 1-6 - Reon Oshio, Sugahara Takuya, Atsushi Sawada, Mutsumi Kimura, Renyuan Zhang, Yasuhiko Nakashima:
A Memcapacitive Spiking Neural Network with Circuit Nonlinearity-aware Training. 1-6 - Kensuke Iizuka, Haruna Takagi, Aika Kamei, Kazuei Hironaka, Hideharu Amano:
Power Analysis of Directly-connected FPGA Clusters. 1-6 - Yang Chen, Lin Liu, Xuelin Feng, Jinglin Shi:
DXT501: An SDR-Based Baseband MP-SoC for Multi-Protocol Industrial Wireless Communication. 1-6 - Yuki Abe, Kazutoshi Kobayashi, Jun Shiomi, Hiroyuki Ochi:
Zero-standby-power Nonvolatile Standard Cell Memory Using FiCC for IoT Processors with Intermittent Operations. 1-6 - Yasuhiro Mochida, Daisuke Shirai, Koichi Takasugi:
Ultra-low Latency 8K Video-transmission System Utilizing Disaggregation Configuration. 1-3 - Kaoru Masada, Ryohei Nakayama, Makoto Ikeda:
Hardware Acceleration of Aggregate Signature Generation and Authentication by BLS Signature over BLS12-381 curve. 1-3 - Takuya Kojima, Hayate Okuhara, Masaaki Kondo, Hideharu Amano:
Body Bias Control on a CGRA based on Convex Optimization. 1-3
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