Architecture and Programming of Analog In-Memory-Computing Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2024
- IPDPS 2024
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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193 results for Vijay Narayanan
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- 2023
- APL Mach. Learn.
Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory Computing
- 2023
- IEEE T-ED
Fully On-Chip MAC at 14 nm Enabled by Accurate Row-Wise Programming of PCM-Based Weights and Parallel Vector-Transport in Duration-Format
- Pritish Narayanan
- Stefano Ambrogio
- et al.
- 2021
- IEEE T-ED
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error
- 2023
- IEEE JESTCS
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
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
Neural network learning using non-ideal resistive memory devices
- Youngseok Kim
- Tayfun Gokmen
- et al.
- 2022
- Frontiers in Nanotechnology
Design of projected phase-change memory mushroom cells for low-resistance drift
- Timothy M. Philip
- Kevin W. Brew
- et al.
- 2022
- MRS Bulletin
Hardware and Software Co-optimization for the Initialization Failure of the ReRAM-based Cross-bar Array
- Youngseok Kim
- S. Kim
- et al.
- 2020
- ACM JETC