Akul Malhotra

According to our database, Akul Malhotra authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

ReTern: Exploiting Natural Redundancy and Sign Transformations for Enhanced Fault Tolerance in Compute-in-Memory-Based Ternary LLMs.

Akul Malhotra, Sumeet Kumar Gupta

IEEE Trans. Very Large Scale Integr. Syst., September, 2025

2024

BinSparX: Sparsified Binary Neural Networks for Reduced Hardware Non-Idealities in Xbar Arrays.

Akul Malhotra, Sumeet Kumar Gupta

CoRR, 2024

SiTe CiM: Signed Ternary Computing-in-Memory for Ultra-Low Precision Deep Neural Networks.

Niharika Thakuria, Akul Malhotra, Sandeep Krishna Thirumala, Reena Elangovan, Anand Raghunathan, Sumeet Kumar Gupta

CoRR, 2024

Memory Faults in Activation-sparse Quantized Deep Neural Networks: Analysis and Mitigation using Sharpness-aware Training.

Akul Malhotra, Sumeet Kumar Gupta

CoRR, 2024

Fault Tolerant In-Memory Computing based on Emerging Technologies for Ultra-Low Precision Edge AI Accelerators.

Akul Malhotra, Sumeet Kumar Gupta

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

BNN-Flip: Enhancing the Fault Tolerance and Security of Compute-in-Memory Enabled Binary Neural Network Accelerators.

Akul Malhotra, Chunguang Wang, Sumeet Kumar Gupta

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

ADRA: Extending Digital Computing-In-Memory With Asymmetric Dual-Row-Activation.

Akul Malhotra, Atanu K. Saha, Chunguang Wang, Sumeet Kumar Gupta

IEEE Trans. Circuits Syst. II Express Briefs, August, 2023

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

Akul Malhotra, Sumeet Kumar Gupta

CoRR, 2023

TFix: Exploiting the Natural Redundancy of Ternary Neural Networks for Fault Tolerant In-Memory Vector Matrix Multiplication.

Akul Malhotra, Chunguang Wang, Sumeet Kumar Gupta

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

RIBoNN: Designing Robust In-Memory Binary Neural Network Accelerators.

Shamik Kundu, Akul Malhotra, Arnab Raha, Sumeet Kumar Gupta, Kanad Basu

Proceedings of the IEEE International Test Conference, 2022

2019

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

Akul Malhotra, Sen Lu, Kezhou Yang, Abhronil Sengupta

CoRR, 2019

All-Spin Bayesian Neural Networks.

Kezhou Yang, Akul Malhotra, Sen Lu, Abhronil Sengupta

CoRR, 2019

A Novel Low Power Non-Volatile SRAM Cell with Self Write Termination.

Kanika Monga, Akul Malhotra, Nitin Chaturvedi, S. Gurunayaranan

Proceedings of the 10th International Conference on Computing, 2019