Efficiency attacks on spiking neural networks
- Sarada Krithivasan
- Sanchari Sen
- et al.
- 2022
- DAC 2022
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20 results for Anand Raghunathan
Scaledeep: A scalable compute architecture for learning and evaluating deep networks
- Swagath Venkataramani
- Ashish Ranjan
- et al.
- 2017
- ISCA 2017
SparCE: Sparsity Aware General-Purpose Core Extensions to Accelerate Deep Neural Networks
- Sanchari Sen
- Shubham Jain
- et al.
- 2019
- IEEE TC
Seprox: Sequence-based approximations for compressing ultra-low precision deep neural networks
- Aradhana Mohan Parvathy
- Sarada Krithivasan
- et al.
- 2022
- ICCAD 2022
Approximate computing and the efficient machine learning expedition
- Jörg Henkel
- Hai Li
- et al.
- 2022
- ICCAD 2022
Layerwise Disaggregated Evaluation of Spiking Neural Networks
- Abinand Nallathambi
- Sanchari Sen
- et al.
- 2022
- ISLPED 2022
Energy Efficient Cache Design with Piezoelectric FETs
- Reena Elangovan
- Ashish Ranjan
- et al.
- 2022
- ISLPED 2022
Efficacy of Pruning in Ultra-Low Precision DNNs
- Sanchari Sen
- Swagath Venkataramani
- et al.
- 2021
- ISLPED 2021
Design Tools for Resistive Crossbar based Machine Learning Accelerators
- Indranil Chakraborty
- Sourjya Roy
- et al.
- 2021
- AICAS 2021
Value Similarity Extensions for Approximate Computing in General-Purpose Processors
- Younghoon Kim
- Swagath Venkataramani
- et al.
- 2021
- DATE 2021