Vrushabh Sanghavi

According to our database, Vrushabh Sanghavi authored at least 5 papers between 2022 and 2023.

Collaborative distances:

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

2023

Distributed Transfer Learning with 4th Gen Intel Xeon Processors.

Lakshmi Arunachalam, Fahim Mohammad, Vrushabh H. Sanghavi

CoRR, 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

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

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, Mahmut Taylan Kandemir

Proceedings of the IEEE International Symposium on Workload Characterization, 2023

2022

End-to-End Industrial IoT: Software Optimization and Acceleration.

Meena Arunachalam, Vrushabh Sanghavi, Samudyatha Kaira, Nilesh A. Ahuja

IEEE Internet Things Mag., 2022

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