ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning-Reference-Cited by-同舟云学术

ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning

Published:2022 Issue: Volume: Page:1-14
ISSN:0018-9340
Container-title:IEEE Transactions on Computers
language:
Short-container-title:IEEE Trans. Comput.

Author:

Klein Joshua¹^ORCID,Boybat Irem²^ORCID,Qureshi Yasir¹^ORCID,Dazzi Martino²^ORCID,Levisse Alexandre¹^ORCID,Ansaloni Giovanni¹^ORCID,Zapater Marina³^ORCID,Sebastian Abu²^ORCID,Atienza David¹^ORCID

Affiliation:

1. Embedded Systems Laboratory (ESL), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

2. IBM Research Europe, Ruschlikon, Switzerland

3. HEIG-VD, Yverdon-les-Bains, Switzerland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/12/4358213/09991844.pdf?arnumber=9991844

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