4-bit quantization of LSTM-based speech recognition models
- Andrea Fasoli
- Chia-Yu Chen
- et al.
- 2021
- INTERSPEECH 2021
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39 results for Swagath Venkataramani
Efficacy of Pruning in Ultra-Low Precision DNNs
- Sanchari Sen
- Swagath Venkataramani
- et al.
- 2021
- ISLPED 2021
RaPiD: AI Accelerator for Ultra-Low Precision Training and Inference
- Swagath Venkataramani
- Vijayalakshmi Srinivasan
- et al.
- 2021
- ISCA 2021
Efficient Management of Scratch-Pad Memories in Deep Learning Accelerators
- Subhankar Pal
- Swagath Venkataramani
- et al.
- 2021
- ISPASS 2021
A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling
- Ankur Agrawal
- Saekyu Lee
- et al.
- 2021
- ISSCC 2021
Value Similarity Extensions for Approximate Computing in General-Purpose Processors
- Younghoon Kim
- Swagath Venkataramani
- et al.
- 2021
- DATE 2021
Ultra-Low Precision 4-bit Training of Deep Neural Networks
- Xiao Sun
- Naigang Wang
- et al.
- 2020
- NeurIPS 2020
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- Chia-Yu Chen
- Jiamin Ni
- et al.
- 2020
- NeurIPS 2020
Efficient AI System Design with Cross-Layer Approximate Computing
- Swagath Venkataramani
- Xiao Sun
- et al.
- 2020
- Proceedings of the IEEE
A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference
- Jinwook Oh
- Sae Kyu Lee
- et al.
- 2020
- VLSI Circuits 2020