Publications

17 results for Shubham Jain

A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC
- - Monodeep Kar
  - Joel Silberman
  - et al.
- 2024
- ISSCC 2024
Power-Limited Inference Performance Optimization Using a Software-Assisted Peak Current Regulation Scheme in a 5-nm AI SoC
- - Monodeep Kar
  - Joel Silberman
  - et al.
- 2024
- IEEE Journal of Solid-State Circuits
DNNDaSher: A Compiler Framework for Dataflow Compatible End-to-End Acceleration on IBM AIU
- - Sanchari Sen
  - Shubham Jain
  - et al.
- 2024
- IEEE Micro
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
Ax-BxP: Approximate Blocked Computation for Precision-reconfigurable Deep Neural Network Acceleration
- - Reena Elangovan
  - Shubham Jain
  - et al.
- 2022
- ACM TODAES
RaPiD: AI Accelerator for Ultra-Low Precision Training and Inference
- - Swagath Venkataramani
  - Vijayalakshmi Srinivasan
  - et al.
- 2021
- ISCA 2021
Design Tools for Resistive Crossbar based Machine Learning Accelerators
- - Indranil Chakraborty
  - Sourjya Roy
  - et al.
- 2021
- AICAS 2021
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges
- - Indranil Chakraborty
  - Mustafa Ali
  - et al.
- 2020
- Proceedings of the IEEE