Akul Malhotra - RankMe

20 papers A* 2A 2B 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	SCION: A Comprehensive Simulation Framework for Charge-based In-Memory Computing for Rapid Evaluation of Hardware Non-Idealities and DNN. ASP-DAC Doug Hyun Kim, Akul Malhotra, Sumeet Kumar Gupta
2025	A*	`conf`	CREST-CiM: Cross-Coupling-Enhanced Differential STT-MRAM for Robust Computing-in-Memory in Binary Neural Networks. DAC Imtiaz Ahmed, Akul Malhotra, Sumeet Kumar Gupta
2025	J	`jnl`	ReTern: Exploiting Natural Redundancy and Sign Transformations for Enhanced Fault Tolerance in Compute-in-Memory based Ternary LLMs. CoRR Akul Malhotra, Sumeet Kumar Gupta
2025	J	`jnl`	ReTern: Exploiting Natural Redundancy and Sign Transformations for Enhanced Fault Tolerance in Compute-in-Memory-Based Ternary LLMs. IEEE Trans. Very Large Scale Integr. Syst. Akul Malhotra, Sumeet Kumar Gupta
2025	J	`jnl`	TWINN: Training-Free Weight-Input Flipping for Mitigating Crossbar Non-Idealities in Binary Neural Network Accelerators. IEEE Trans. Circuits Syst. I Regul. Pap. Akul Malhotra, Sumeet Kumar Gupta
2025	J	`jnl`	Weight Transformations in Bit-Sliced Crossbar Arrays for Fault Tolerant Computing-in-Memory: Design Techniques and Evaluation Framework. CoRR Akul Malhotra, Sumeet Kumar Gupta
2024	B	`conf`	BNN-Flip: Enhancing the Fault Tolerance and Security of Compute-in-Memory Enabled Binary Neural Network Accelerators. ASPDAC Akul Malhotra, Chunguang Wang, Sumeet Kumar Gupta
2024	J	`jnl`	BinSparX: Sparsified Binary Neural Networks for Reduced Hardware Non-Idealities in Xbar Arrays. CoRR Akul Malhotra, Sumeet Kumar Gupta
2024	A	`conf`	Fault Tolerant In-Memory Computing based on Emerging Technologies for Ultra-Low Precision Edge AI Accelerators. ICCAD Akul Malhotra, Sumeet Kumar Gupta
2024	J	`jnl`	Memory Faults in Activation-sparse Quantized Deep Neural Networks: Analysis and Mitigation using Sharpness-aware Training. CoRR Akul Malhotra, Sumeet Kumar Gupta
2024	J	`jnl`	SiTe CiM: Signed Ternary Computing-in-Memory for Ultra-Low Precision Deep Neural Networks. CoRR Niharika Thakuria, Akul Malhotra, Sandeep Krishna Thirumala, Reena Elangovan, Anand Raghunathan, Sumeet Kumar Gupta
2023	J	`jnl`	ADRA: Extending Digital Computing-In-Memory With Asymmetric Dual-Row-Activation. IEEE Trans. Circuits Syst. II Express Briefs Akul Malhotra, Atanu K. Saha, Chunguang Wang, Sumeet Kumar Gupta
2023	J	`jnl`	FlatENN: Train Flat for Enhanced Fault Tolerance of Quantized Deep Neural Networks. CoRR Akul Malhotra, Sumeet Kumar Gupta
2023	A*	`conf`	TFix: Exploiting the Natural Redundancy of Ternary Neural Networks for Fault Tolerant In-Memory Vector Matrix Multiplication. DAC Akul Malhotra, Chunguang Wang, Sumeet Kumar Gupta
2022	J	`jnl`	ADRA: Extending Digital Computing-in-Memory with Asymmetric Dual-Row-Activation. CoRR Akul Malhotra, Atanu K. Saha, Chunguang Wang, Sumeet Kumar Gupta
2022	A	`conf`	RIBoNN: Designing Robust In-Memory Binary Neural Network Accelerators. ITC Shamik Kundu, Akul Malhotra, Arnab Raha, Sumeet Kumar Gupta, Kanad Basu
2019	—	`conf`	A Novel Low Power Non-Volatile SRAM Cell with Self Write Termination. ICCCNT Kanika Monga, Akul Malhotra, Nitin Chaturvedi, S. Gurunayaranan
2019	J	`jnl`	A Novel Low Power Non-Volatile SRAM Cell with Self Write Termination. CoRR Kanika Monga, Akul Malhotra, Nitin Chaturvedi, S. Gurunayaranan
2019	J	`jnl`	All-Spin Bayesian Neural Networks. CoRR Kezhou Yang, Akul Malhotra, Sen Lu, Abhronil Sengupta
2019	J	`jnl`	Exploiting Oxide Based Resistive RAM Variability for Probabilistic AI Hardware Design. CoRR Akul Malhotra, Sen Lu, Kezhou Yang, Abhronil Sengupta