| CARVIEW |
Select Language
HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Thu, 07 Aug 2025 03:03:45 GMT
access-control-allow-origin: *
etag: W/"68941791-13e0"
expires: Mon, 29 Dec 2025 08:19:45 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 5B01:2DDCFF:87EC63:98B5D8:69523749
accept-ranges: bytes
age: 0
date: Mon, 29 Dec 2025 08:09:45 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210071-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1766995786.587399,VS0,VE205
vary: Accept-Encoding
x-fastly-request-id: 3510dc52ee80d7c54bfb5b3674d1382312ab4bfb
content-length: 1851
Pratik Fegade
I am an Applied Scientist working on the Neuron compiler at
Amazon. Previously, I worked at Google at the intersection of
TPU performance and compilation. In a previous life, I obtained
a PhD in the Computer Science from CMU where I worked with
Prof. Todd Mowry, Prof. Phil Gibbons and Prof. Tianqi Chen.
Publications (Google Scholar Profile)
-
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, Volume 3 (ASPLOS 2025) -
ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time
Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
Seventh Conference on Machine Learning and Systems (MLSys 2024) -
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines
Siyuan Chen, Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
40th International Conference on Machine Learning, 2023 -
PhD Thesis: Auto-batching Techniques for Dynamic Deep Learning Computations
Pratik Fegade
-
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding
Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
Fifth Conference on Machine Learning and Systems (MLSys 2022) -
Cortex: A Compiler for Recursive Deep Learning Models
Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
Fourth Conference on Machine Learning and Systems (MLSys 2021) -
Scalable Pointer Analysis of Data Structures Using Semantic Models
Pratik Fegade, Christian Wimmer
ACM SIGPLAN 2020 International Conference on Compiler Construction (CC 2020)