Strategies for Optimizing End-to-End Artificial Intelligence Pipelines on Intel Xeon Processors. - Meena Arunachalam; Vrushabh Sanghavi; Yi A. Yao; Yi A Zhou; Lifeng A. Wang; Zongru Wen; Niroop Ammbashankar; Ning W. Wang; Fahim Mohammad (CoRR, 2022)

End-to-End Industrial IoT: Software Optimization and Acceleration. - Meena Arunachalam; Vrushabh Sanghavi; Samudyatha Kaira; Nilesh A. Ahuja (IEEE Internet Things Mag., 2022)

Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness. - Jun-Liang Lin; Ranganath Krishnan; Keyur Ruganathbhai Ranipa; Mahesh Subedar; Vrushabh Sanghavi; Meena Arunachalam; Omesh Tickoo; Ravishankar Iyer 001; Mahmut Taylan Kandemir (IISWC, 2023)

Optimizing CPU Performance for Recommendation Systems At-Scale. - Rishabh Jain; Scott Cheng; Vishwas Kalagi; Vrushabh Sanghavi; Samvit Kaul; Meena Arunachalam; Kiwan Maeng; Adwait Jog; Anand Sivasubramaniam; Mahmut Taylan Kandemir; Chita R. Das (ISCA, 2023)

Distributed Transfer Learning with 4th Gen Intel Xeon Processors. - Lakshmi Arunachalam; Fahim Mohammad; Vrushabh H. Sanghavi (CoRR, 2023)