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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36 results for Swagath Venkataramani

OnSRAM: Efficient Inter-Node On-Chip Scratchpad Management in Deep Learning Accelerators
- - Subhankar Pal
  - Swagath Venkataramani
  - et al.
- 2022
- Transactions on Embedded Computing Systems
Accelerating DNN Training Through Selective Localized Learning
- - Sarada Krithivasan
  - Sanchari Sen
  - et al.
- 2022
- Frontiers in Neuroscience
Efficient AI System Design with Cross-Layer Approximate Computing
- - Swagath Venkataramani
  - Xiao Sun
  - et al.
- 2020
- Proceedings of the IEEE
DyVEDeep: Dynamic Variable Effort Deep Neural Networks
- - Sanjay Ganapathy
  - Swagath Venkataramani
  - et al.
- 2020
- ACM TECS
DeepTools: Compiler and Execution Runtime Extensions for RaPiD AI Accelerator
- - Swagath Venkataramani
  - Jungwook Choi
  - et al.
- 2019
- IEEE Micro
A Scalable Multi-TeraOPS Core for AI Training and Inference
- - Sunil Shukla
  - Bruce Fleischer
  - et al.
- 2018
- IEEE SSC-L