AI Acceleration Enabled by Nanoelectronic Memristive Devices

I. A. Bordanov, A. D. Zuev, S. N. Danilin, V. P. Khranilov, E. A. Bukvarev, S. Kim, E. G. Gryaznov, A. N. Mikhaylov, S. A. Shchanikov

Research output: Contribution to journalConference articlepeer-review

Abstract

Here we present an analysis of the current state in the field of development of hardware accelerators of artificial intelligence (AI). Despite the fairly good progress made over the past decades, this area is experiencing a number of significant difficulties in its development. The solution to this problem lies in the application of new approaches to the organization of computing, in particular, computing in memory enabled by nanoelectronic memristive devices. We provide an overview of state-of-art systems, as well as our own version of the experimental concept of AI accelerators based on metal-oxide memristive devices and the massively parallel architecture for information processing.

Original languageEnglish
Article number012001
JournalJournal of Physics: Conference Series
Volume2316
Issue number1
DOIs
StatePublished - 2022
Event9th International Conference on Modern Nanotechnologies and Nanophotonics for Science and Industry, MNNSI-2021 - Vladimir, Russian Federation
Duration: 11 Nov 202116 Nov 2021

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