JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of
Imperative Programs

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JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs

4 December 2018

Joo Seong Jeong

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Papers citing "JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs"

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Title
ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time Pratik Fegade Tianqi Chen Phillip B. Gibbons T. Mowry 64 2 0 17 May 2023
Query Processing on Tensor Computation Runtimes Dong He Supun Nakandala Dalitso Banda Rathijit Sen Karla Saur Kwanghyun Park Carlo Curino Jesús Camacho-Rodríguez Konstantinos Karanasos Matteo Interlandi 168 37 0 03 Mar 2022
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs Taebum Kim Eunji Jeong Geonyong Kim Yunmo Koo Sehoon Kim Gyeong-In Yu Byung-Gon Chun AI4CE 63 5 0 23 Jan 2022
An Abstract View of Big Data Processing Programs J. Neto A. M. Moreira Genoveva Vargas-Solar M. Musicante 10 0 0 05 Aug 2021
Cortex: A Compiler for Recursive Deep Learning Models Pratik Fegade Tianqi Chen Phillip B. Gibbons T. Mowry VLM 62 28 0 02 Nov 2020
Symbolic Techniques for Deep Learning: Challenges and Opportunities Belinda Fang Elaine Yang Fei Xie 14 1 0 01 Oct 2020
Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference Haichen Shen Jared Roesch Zhi Chen Wei Chen Yong Wu Mu Li Vin Sharma Zachary Tatlock Yida Wang 59 57 0 04 Jun 2020
AutoGraph: Imperative-style Coding with Graph-based Performance D. Moldovan James M. Decker Fei Wang A. A. Johnson Brian K. Lee Zachary Nado D. Sculley Tiark Rompf Alexander B. Wiltschko 58 43 0 16 Oct 2018