Examining the Role and Limits of Batchnorm Optimization to Mitigate
Diverse Hardware-noise in In-memory Computing

Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing

28 May 2023

Abhiroop Bhattacharjee

Abhishek Moitra

Youngeun Kim

Yeshwanth Venkatesha

Priyadarshini Panda

Papers citing "Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing"

6 / 6 papers shown

Title
Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small Zhehui Wang Tao Luo Cheng Liu Weichen Liu Rick Siow Mong Goh Weng-Fai Wong 26 1 0 21 Oct 2024
When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-design Abhishek Moitra Abhiroop Bhattacharjee Yuhang Li Youngeun Kim Priyadarshini Panda 30 1 0 22 Aug 2024
TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing Abhishek Moitra Abhiroop Bhattacharjee Youngeun Kim Priyadarshini Panda ViT 32 2 0 22 Aug 2024
ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda CLIP 24 6 0 04 Feb 2024
Are SNNs Truly Energy-efficient? $-$ A Hardware Perspective Abhiroop Bhattacharjee Ruokai Yin Abhishek Moitra Priyadarshini Panda 19 8 0 06 Sep 2023
Fast offset corrected in-memory training Malte J. Rasch F. Carta Omobayode Fagbohungbe Tayfun Gokmen 34 5 0 08 Mar 2023