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Bio
My research focuses on designing and developing new hardware systems for Deep Learning that offer orders-of-magnitude performance/power benefits over current approaches. This includes: i) novel non-Von Neumann architectures based on Non-Volatile Memory that can accomplish highly parallelized Multiply-Accumulate operations at the location of data, and ii) FPGA-based systems that leverage approximate computing methods including reduced precision and aggressive compression schemes.
Research Interests
Papers共 110 篇Author StatisticsCo-AuthorSimilar Experts
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Proceedings of the Neuromorphic Materials, Devices, Circuits and Systems (2023)
2023 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCASpp.1-5, (2023)
G. W. Burr,H. Tsai, W. Simon,I. Boybat,S. Ambrogio, C.-E. Ho, Z.-W. Liou,M. Rasch,J. Büchel,P. Narayanan, T. Gordon, S. Jain,
2023 International Electron Devices Meeting (IEDM)pp.1-4, (2023)
VLSI Technology and Circuitspp.1-2, (2023)
2023 IEEE International Reliability Physics Symposium (IRPS)pp.1-10, (2023)
S. Ambrogio,P. Narayanan,A. Okazaki, A. Fasoli,C. Mackin,K. Hosokawa,A. Nomura, T. Yasuda,A. Chen,A. Friz, M. Ishii, J. Luquin,
NATUREno. 7975 (2023): 768-775
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