Efficient AI System Design with Cross-Layer Approximate Computing
- Swagath Venkataramani
- Xiao Sun
- et al.
- 2020
- Proceedings of the IEEE
Paper
Publications
18 results for Shubham Jain
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges
- Indranil Chakraborty
- Mustafa Ali
- et al.
- 2020
- Proceedings of the IEEE
PaperEmerging Neural Workloads and Their Impact on Hardware
- David Brooks
- Martin M. Frank
- et al.
- 2020
- DATE 2020
Conference paperValley-Coupled-Spintronic Non-Volatile Memories with Compute-In-Memory Support
- Sandeep Krishna Thirumala
- Yi Tse Hung
- et al.
- 2020
- IEEE TNANO
PaperNeural network accelerator design with resistive crossbars: Opportunities and challenges
- Shubham Jain
- Aayush Ankit
- et al.
- 2019
- IBM J. Res. Dev
PaperBiScaled-DNN: Quantizing long-tailed datastructures with two scale factors for deep neural networks
- Shubham Jain
- Swagath Venkataramani
- et al.
- 2019
- DAC 2019
Conference paperSparCE: Sparsity Aware General-Purpose Core Extensions to Accelerate Deep Neural Networks
- Sanchari Sen
- Shubham Jain
- et al.
- 2019
- IEEE TC
PaperCompensated-DNN: Energy efficient low-precision deep neural networks by compensating quantization errors
- Shubham Jain
- Swagath Venkataramani
- et al.
- 2018
- DAC 2018
Conference paper