Energy-efficient Computation-In-Memory Architecture using Emerging Technologies-Reference-Cited by-同舟云学术

Energy-efficient Computation-In-Memory Architecture using Emerging Technologies

Published:2023-12-17 Issue: Volume: Page:325-334
ISSN:
Container-title:2023 International Conference on Microelectronics (ICM)
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Author:

Bishnoi Rajendra¹,Diware Sumit¹,Gebregiorgis Anteneh¹,Thomann Simon²,Mannaa Sara³,Deveautour Bastien³,Marchand Cédric³,Bosio Alberto³,Deleruyelle Damien³,O’Connor Ian³,Amrouch Hussam²,Hamdioui Said¹

Affiliation:

1. Delft University of Technology,Computer Engineering Laboratory,The Netherlands

2. Munich Institute of Robotics and Machine Intelligence, Technical University of Munich,Chair of AI Processor Design,Germany

3. University Lyon, ECL, INSA Lyon, CPE Lyon, Institut de Nanotechnologies de Lyon,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10378847/10378878/10378889.pdf?arnumber=10378889

Reference46 articles.

1. Going deeper with convolutions

2. Severity-Based Hierarchical ECG Classification Using Neural Networks

3. TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings

4. Read-disturb Detection Methodology for RRAM-based Computation-in-Memory Architecture

5. PUMA

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