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The VVIP (Vertically-integrated VLSI Information Processing) Lab at UC San Diego, led by Professor Mingu Kang, aims to achieve energy- and latency-efficient VLSI hardware for machine learning and signal processing algorithms across multiple research stacks including circuit and device at the bottom, architecture in the middle, and system and algorithm at the top. This research goal is achieved by leveraging novel computing paradigms including in-memory, in-sensor, and neuromorphic computing.
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论文共 68 篇作者统计合作学者相似作者
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Leonardo Martinelli,Krzysztof Wohlfeld,Jonathan Pelliciari,Riccardo Arpaia,Nicholas B. Brookes,Daniele Di Castro, Mirian G. Fernandez,Mingu Kang, Yoshiharu Krockenberger,Kurt Kummer,Daniel E. Mcnally,Eugenio Paris,
IEEE Access (2023): 3080-3095
Ankur Agrawal,Monodeep Kar,Kyu-Hyoun Kim,Sergey V. Rylov,Jinwook Jung,Seiji Munetoh,Kohji Hosokawa,Xin Zhang, Bahman Hekmatshoartabari, Fabio Carta, Martin Cochet,Robert Casatuta,
VLSI Technology and Circuitspp.1-2, (2023)
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TRANSPORTATION RESEARCH RECORDpp.036119812311524-036119812311524, (2023)
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAno. 30 (2023): e2302099120-e2302099120
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