Ayush Arunachalam

According to our database, Ayush Arunachalam authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learning.

Ayush Arunachalam, Ian Kintz, Suvadeep Banerjee, Arnab Raha, Xiankun Jin, Fei Su, Viswanathan Pillai Prasanth, Rubin A. Parekhji, Suriyaprakash Natarajan, Kanad Basu

CoRR, 2024

NSPG: Natural language Processing-based Security Property Generator for Hardware Security Assurance.

Xingyu Meng, Amisha Srivastava, Ayush Arunachalam, Avik Ray, Pedro Henrique Silva, Rafail Psiakis, Yiorgos Makris, Kanad Basu

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

A Novel Low-Power Compression Scheme for Systolic Array-Based Deep Learning Accelerators.

Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2023

Unlocking Hardware Security Assurance: The Potential of LLMs.

Xingyu Meng, Amisha Srivastava, Ayush Arunachalam, Avik Ray, Pedro Henrique Silva, Rafail Psiakis, Yiorgos Makris, Kanad Basu

CoRR, 2023

Enhanced ML-Based Approach for Functional Safety Improvement in Automotive AMS Circuits.

Ayush Arunachalam, Sanjay Das, Monikka Rajan, Fei Su, Xiankun Jin, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu

Proceedings of the IEEE International Test Conference, 2023

Search Space Reduction for Efficient Quantum Compilation.

Amisha Srivastava, Chao Lu, Navnil Choudhury, Ayush Arunachalam, Kanad Basu

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022

Machine Learning-enhanced Efficient Spectroscopic Ellipsometry Modeling.

Ayush Arunachalam, S. Novia Berriel, Parag Banerjee, Kanad Basu

CoRR, 2022

Unsupervised Learning-based Early Anomaly Detection in AMS Circuits of Automotive SoCs.

Ayush Arunachalam, Athulya Kizhakkayil, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Robert Jin, Fei Su, Kanad Basu

Proceedings of the IEEE International Test Conference, 2022

Fault Resilience of DNN Accelerators for Compressed Sensor Inputs.

Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Kanad Basu

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

2021

HardCompress: A Novel Hardware-based Low-power Compression Scheme for DNN Accelerators.

Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021