ELEMENT: Energy-Efficient Multi-NoP Architecture for IMC-Based 2.5-D Accelerator for DNN Training-Reference-Cited by-同舟云学术

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ELEMENT: Energy-Efficient Multi-NoP Architecture for IMC-Based 2.5-D Accelerator for DNN Training

Published:2023-12 Issue:6 Volume:40 Page:51-63
ISSN:2168-2356
Container-title:IEEE Design & Test
language:
Short-container-title:IEEE Des. Test

Author:

Neethu K.¹^ORCID,Shahana K. C. Sharin²,James Rekha K.¹,Jose John³^ORCID,Mandal Sumit K.²^ORCID

Affiliation:

1. Division of Electronics Engineering School of Engineering, Cochin University of Science and Technology, Cochin, India

2. Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India

3. Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, Guwahati, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

http://xplorestaging.ieee.org/ielx7/6221038/10288420/10233885.pdf?arnumber=10233885

Reference18 articles.

1. Timely: Pushing Data Movements And Interfaces In Pim Accelerators Towards Local And In Time Domain

2. NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning

3. T-PIM: An Energy-Efficient Processing-in-Memory Accelerator for End-to-End On-Device Training

4. SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training

5. PRIME

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