ReSta: Recovery of Accuracy During Training of Deep Learning Models in a 14-nm Technology-Based ReRAM Array
- Fabia Farlin Athena
- Nanbo Gong
- et al.
- 2023
- IEEE T-ED
Paper
Publications
34 results for Ramachandran Muralidhar
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing
- Hadjer Benmeziane
- Corey Lammie
- et al.
- 2023
- EDGE 2023
Conference paperArchitectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)
- Shubham Jain
- Ching-Tzu Chen
- et al.
- 2023
- ISCAS 2023
Conference paperImpact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited)
- Martin M. Frank
- Ning Li
- et al.
- 2023
- IRPS 2023
Conference paperA Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh
- Shubham Jain
- Hsinyu Tsai
- et al.
- 2023
- IEEE Transactions on VLSI Systems
PaperSource Localization and Bayesian leak magnitude inference of sparse wireless sensor data to detect fugitive methane leak
- Siddesh Nageswaran
- Ramachandran Muralidhar
- et al.
- 2022
- Big Data 2022
Conference paperResistive Memory Process Optimization for High Resistance Switching Toward Scalable Analog Compute Technology for Deep Learning
- Youngseok Kim
- Soon-Cheon Seo
- et al.
- 2021
- IEEE Electron Device Letters
PaperBottom electrode properties and electrical field cycling effects on hfox based resistive switching memory device
- J. Li
- Youngseok Kim
- et al.
- 2020
- ISTFA 2020
Conference paperA maximum extreme-value distribution model for switching conductance of oxide-RRAM in memory applications
- Ernest Wu
- Takashi Ando
- et al.
- 2020
- Applied Physics Letters
PaperFilamentary Statistical Evolution from Nano-Conducting Path to Switching-Filament for Oxide-RRAM in Memory Applications
- Ernest Wu
- Takashi Ando
- et al.
- 2019
- IEDM 2019
Conference paper