Work

Opportunities and Limitations of Emerging Analog in-Memory Compute DNN Architectures

Year: 2020

Type: conference-paper

Abstract: sponsorship: This work was supported by the Flemish Government (AI Research Program), the EU ERC research programme, grant nr. 715037 and the FWO-Vlaanderen. (Flemish Government (AI Research Program), EU ERC research programme|715037, FWO-Vlaanderen, European Research Council (ERC)|715037)

Source: Technical digest - International Electron Devices Meeting/Technical digest

DOI: 10.1109/iedm13553.2020.9372006

Authors: Pouya Houshmand, Stefan Cosemans, Linyan Mei, Ioannis Papistas, Debjyoti Bhattacharjee, Peter Debacker, Arindam Mallik, Diederik Verkest, Marian Verhelst

Institutions: KU Leuven, IMEC

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3139067602

FWCI: 6.31

Cites: 16

Cited by: 30

Related to: 10