MixTrain: accelerating DNN training via input mixing
- Sarada Krithivasan
- Sanchari Sen
- et al.
- 2024
- Frontiers in Artificial Intelligence
Publications
Date
Featured collections
Popular topics
39 results for Swagath Venkataramani
DNNDaSher: A Compiler Framework for Dataflow Compatible End-to-End Acceleration on IBM AIU
- Sanchari Sen
- Shubham Jain
- et al.
- 2024
- IEEE Micro
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
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