MixTrain: accelerating DNN training via input mixing
- Sarada Krithivasan
- Sanchari Sen
- et al.
- 2024
- Frontiers in Artificial Intelligence
Publications
39 results for Swagath Venkataramani
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
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
Deep Compression of Pre-trained Transformer Models
- Naigang Wang
- Chi-Chun Liu
- et al.
- 2022
- NeurIPS 2022
Approximate computing and the efficient machine learning expedition
- Jörg Henkel
- Hai Li
- et al.
- 2022
- ICCAD 2022
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 Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization
- Andrea Fasoli
- Chia-Yu Chen
- et al.
- 2022
- INTERSPEECH 2022
Accelerating DNN Training Through Selective Localized Learning
- Sarada Krithivasan
- Sanchari Sen
- et al.
- 2022
- Frontiers in Neuroscience
A 7-nm Four-Core Mixed-Precision AI Chip with 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling
- Sae Kyu Lee
- Ankur Agrawal
- et al.
- 2021
- IEEE JSSC