Publications

34 results for Ramachandran Muralidhar

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
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing
- - Hadjer Benmeziane
  - Corey Lammie
  - et al.
- 2023
- EDGE 2023
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)
- - Shubham Jain
  - Ching-Tzu Chen
  - et al.
- 2023
- ISCAS 2023
Impact 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
A 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
Source 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
Resistive 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
Bottom electrode properties and electrical field cycling effects on hfox based resistive switching memory device
- - J. Li
  - Youngseok Kim
  - et al.
- 2020
- ISTFA 2020
A maximum extreme-value distribution model for switching conductance of oxide-RRAM in memory applications
- - Ernest Wu
  - Takashi Ando
  - et al.
- 2020
- Applied Physics Letters
Filamentary Statistical Evolution from Nano-Conducting Path to Switching-Filament for Oxide-RRAM in Memory Applications
- - Ernest Wu
  - Takashi Ando
  - et al.
- 2019
- IEDM 2019