Design Tools for Resistive Crossbar based Machine Learning Accelerators
- Indranil Chakraborty
- Sourjya Roy
- et al.
- 2021
- AICAS 2021
Publications
Date
Featured collections
Popular topics
22 results for Anand Raghunathan
Value Similarity Extensions for Approximate Computing in General-Purpose Processors
- Younghoon Kim
- Swagath Venkataramani
- et al.
- 2021
- DATE 2021
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges
- Indranil Chakraborty
- Mustafa Ali
- et al.
- 2020
- Proceedings of the IEEE
DyVEDeep: Dynamic Variable Effort Deep Neural Networks
- Sanjay Ganapathy
- Swagath Venkataramani
- et al.
- 2020
- ACM TECS
Emerging Neural Workloads and Their Impact on Hardware
- David Brooks
- Martin M. Frank
- et al.
- 2020
- DATE 2020
Valley-Coupled-Spintronic Non-Volatile Memories with Compute-In-Memory Support
- Sandeep Krishna Thirumala
- Yi Tse Hung
- et al.
- 2020
- IEEE TNANO
Neural network accelerator design with resistive crossbars: Opportunities and challenges
- Shubham Jain
- Aayush Ankit
- et al.
- 2019
- IBM J. Res. Dev
Dynamic Spike Bundling for Energy-Efficient Spiking Neural Networks
- Sarada Krithivasan
- Sanchari Sen
- et al.
- 2019
- ISLPED 2019
SparCE: Sparsity Aware General-Purpose Core Extensions to Accelerate Deep Neural Networks
- Sanchari Sen
- Shubham Jain
- et al.
- 2019
- IEEE TC
Data Subsetting: A Data-Centric Approach to Approximate Computing
- Younghoon Kim
- Swagath Venkataramani
- et al.
- 2019
- DATE 2019