Pratik Fegade

According to our database, Pratik Fegade authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

The ASPLOS 2025 / EuroSys 2025 Contest on Intra-Operator Parallelism for Distributed Deep Learning.

Michael D. Moffitt, Pratik Fegade

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

ACROBAT: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time.

Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

2023

Auto-batching Techniques for Dynamic Deep Learning Computation

Pratik Fegade

PhD thesis, 2023

ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines.

Siyuan Chen, Pratik Pramod Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry

Proceedings of the International Conference on Machine Learning, 2023

2022

The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding.

Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021

Cortex: A Compiler for Recursive Deep Learning Models.

Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

2020

Scalable pointer analysis of data structures using semantic models.

Pratik Fegade, Christian Wimmer

Proceedings of the CC '20: 29th International Conference on Compiler Construction, 2020