‪Pratik Fegade‬ - ‪Google Scholar‬

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Co-authors

Todd C. MowryProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Tianqi ChenCarnegie Mellon UniversityVerified email at cmu.edu
Phillip GibbonsCarnegie Mellon UniversityVerified email at cs.cmu.edu
Christian WimmerOracle LabsVerified email at oracle.com
Siyuan ChenPhD student, Carnegie Mellon UniversityVerified email at andrew.cmu.edu

Pratik Fegade

Pratik Fegade

Verified email at google.com - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Cortex: A Compiler for Recursive Deep Learning Models P Fegade, T Chen, P Gibbons, T Mowry Proceedings of Machine Learning and Systems 3, 2021	24	2021
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding P Fegade, T Chen, PB Gibbons, TC Mowry Machine Learning and Systems, 2021	23	2021
Scalable pointer analysis of data structures using semantic models P Fegade, C Wimmer Proceedings of the 29th International Conference on Compiler Construction, 39-50, 2020	13	2020
Auto-batching Techniques for Dynamic Deep Learning Computations PP Fegade Carnegie Mellon University, 2022	1	2022
ED-batch: efficient automatic batching of dynamic neural networks via learned finite state machines S Chen, PP Fegade, T Chen, P Gibbons, T Mowry International Conference on Machine Learning, 4514-4528, 2023		2023
ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time P Fegade, T Chen, PB Gibbons, TC Mowry arXiv preprint arXiv:2305.10611, 2023		2023

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