Akul Malhotra

Orcid: 0000-0002-6152-2377

According to our database1, Akul Malhotra authored at least 7 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
ADRA: Extending Digital Computing-In-Memory With Asymmetric Dual-Row-Activation.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2023

FlatENN: Train Flat for Enhanced Fault Tolerance of Quantized Deep Neural Networks.
CoRR, 2023

TFix: Exploiting the Natural Redundancy of Ternary Neural Networks for Fault Tolerant In-Memory Vector Matrix Multiplication.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
RIBoNN: Designing Robust In-Memory Binary Neural Network Accelerators.
Proceedings of the IEEE International Test Conference, 2022

2019
Exploiting Oxide Based Resistive RAM Variability for Probabilistic AI Hardware Design.
CoRR, 2019

All-Spin Bayesian Neural Networks.
CoRR, 2019

A Novel Low Power Non-Volatile SRAM Cell with Self Write Termination.
Proceedings of the 10th International Conference on Computing, 2019


  Loading...