Raghunathan, Anand

Security in embedded systems: Design challenges

Ravi, S., Raghunathan, A., Kocher, P., & Hattangady, S. (2004) · ACM Transactions on Embedded Computing Systems

Security and Verification in ComputingCryptographic Implementations and Security

Cited by 463

Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers

Stevens, J. R., Venkatesan, R., Dai, S., Khailany, B., & Raghunathan, A. (2021) · 2021 58th ACM/IEEE Design Automation Conference (DAC)

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 148

Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges

Chakraborty, I., Ali, M., Ankit, A., Jain, S., Roy, S., Sridharan, S., Agrawal, A., Raghunathan, A., & Roy, K. (2020) · Proceedings of the IEEE

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 140

Analyzing the energy consumption of security protocols

Potlapally, N. R., Ravi, S., Raghunathan, A., & Jha, N. K. (2003) · Proceedings of the 2003 international symposium on Low power electronics and design - ISLPED '03

Green IT and SustainabilityCryptographic Implementations and Security

Cited by 25

AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models

Nagarajan, A., Sen, S., Stevens, J. R., & Raghunathan, A. (2022) · 2022 International Joint Conference on Neural Networks (IJCNN)

Advanced Neural Network ApplicationsTopic Modeling

Cited by 3