Abhishek A. Patwardhan - Google Scholar

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	All	Since 2019
Citations	15	15
h-index	2	2
i10-index	1	1

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Co-authors

Ramakrishna UpadrastaAssociate Professor, Dept. of Computer Science and Engg, IIT Hyderabad, IndiaVerified email at cse.iith.ac.in
Sakshi VarshneyAalto UniversityVerified email at aalto.fi
Maunendra Sankar DesarkarIIT HyderabadVerified email at cse.iith.ac.in

Abhishek A. Patwardhan

Abhishek A. Patwardhan

Verified email at nvidia.com


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Vitag: Automatic video tagging using segmentation and conceptual inference AA Patwardhan, S Das, S Varshney, MS Desarkar, DP Dogra 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), 271-276, 2019	10	2019
Polyhedral Model Guided Automatic GPU Cache Exploitation Framework AA Patwardhan, R Upadrasta 2019 International Conference on High Performance Computing & Simulation …, 2019	3	2019
Some Efficient Algorithms for the Tightest UTVPI Polyhedral Over-Approximation Problem AA Patwardhan, R Upadrasta	1	2019
Texturizing PPCG: Supporting Texture Memory in a Polyhedral Compiler A Patwardhan, R Upadrasta	1	2016
When Polyhedral Optimizations Meet Deep Learning Kernels H Vaidya, A Badrinaaraayanan, AA Patwardhan, R Upadrasta		2019
Polyhedral Compilation: Applications, Approximations and GPU-specific Optimizations AA Patwardhan Indian Institute of Technology Hyderabad, 2018		2018

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Articles 1–6