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Journal Articles
- 2022
[j1]Meena Arunachalam, Vrushabh Sanghavi, Samudyatha Kaira, Nilesh A. Ahuja:
End-to-End Industrial IoT: Software Optimization and Acceleration. IEEE Internet Things Mag. 5(1): 48-53 (2022)
Conference and Workshop Papers
- 2023
- [c2]Jun-Liang Lin
, Ranganath Krishnan, Keyur Ruganathbhai Ranipa, Mahesh Subedar, Vrushabh Sanghavi, Meena Arunachalam, Omesh Tickoo, Ravishankar Iyer, Mahmut Taylan Kandemir:
Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness. IISWC 2023: 180-192 - [c1]Rishabh Jain, Scott Cheng, Vishwas Kalagi, Vrushabh Sanghavi, Samvit Kaul, Meena Arunachalam, Kiwan Maeng, Adwait Jog, Anand Sivasubramaniam, Mahmut Taylan Kandemir, Chita R. Das:
Optimizing CPU Performance for Recommendation Systems At-Scale. ISCA 2023: 77:1-77:15
Informal and Other Publications
- 2023
- [i2]Lakshmi Arunachalam, Fahim Mohammad, Vrushabh H. Sanghavi:
Distributed Transfer Learning with 4th Gen Intel Xeon Processors. CoRR abs/2310.06916 (2023) - 2022
- [i1]Meena Arunachalam, Vrushabh Sanghavi, Yi A. Yao, Yi A Zhou, Lifeng A. Wang, Zongru Wen, Niroop Ammbashankar, Ning W. Wang, Fahim Mohammad:
Strategies for Optimizing End-to-End Artificial Intelligence Pipelines on Intel Xeon Processors. CoRR abs/2211.00286 (2022)
Coauthor Index
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