Pratik Fegade

According to our database1, Pratik Fegade authored at least 5 papers between 2020 and 2024.

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Bibliography

2024
ACROBAT: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

2023
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines.
Proceedings of the International Conference on Machine Learning, 2023

2022
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021
Cortex: A Compiler for Recursive Deep Learning Models.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

2020
Scalable pointer analysis of data structures using semantic models.
Proceedings of the CC '20: 29th International Conference on Compiler Construction, 2020


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