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Cortex: A Compiler for Recursive Deep Learning Models
v1v2 (latest)

Cortex: A Compiler for Recursive Deep Learning Models

2 November 2020
Pratik Fegade
Tianqi Chen
Phillip B. Gibbons
T. Mowry
    VLM
ArXiv (abs)PDFHTML

Papers citing "Cortex: A Compiler for Recursive Deep Learning Models"

16 / 16 papers shown
Title
Tilus: A Virtual Machine for Arbitrary Low-Precision GPGPU Computation in LLM Serving
Tilus: A Virtual Machine for Arbitrary Low-Precision GPGPU Computation in LLM Serving
Yaoyao Ding
Bohan Hou
Xinyu Zhang
Allan Lin
Tianqi Chen
Cody Yu Hao
Yida Wang
Gennady Pekhimenko
132
0
0
17 Apr 2025
Scheduling Languages: A Past, Present, and Future Taxonomy
Scheduling Languages: A Past, Present, and Future Taxonomy
Mary Hall
Cosmin Oancea
Anne C. Elster
Ari Rasch
Sameeran Joshi
Amir Mohammad Tavakkoli
Richard Schulze
92
1
0
25 Oct 2024
SoD$^2$: Statically Optimizing Dynamic Deep Neural Network
SoD2^22: Statically Optimizing Dynamic Deep Neural Network
Wei Niu
Gagan Agrawal
Bin Ren
79
5
0
29 Feb 2024
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
Ruihang Lai
Junru Shao
Siyuan Feng
Steven Lyubomirsky
Bohan Hou
...
Sunghyun Park
Prakalp Srivastava
Jared Roesch
T. Mowry
Tianqi Chen
111
11
0
01 Nov 2023
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph
  Optimization
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization
Simin Chen
Shiyi Wei
Cong Liu
Wei Yang
70
6
0
11 Jul 2023
ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile
  Time
ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time
Pratik Fegade
Tianqi Chen
Phillip B. Gibbons
T. Mowry
67
2
0
17 May 2023
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via
  Learned Finite State Machines
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines
Siyuan Chen
Pratik Fegade
Tianqi Chen
Phillip B. Gibbons
T. Mowry
52
0
0
08 Feb 2023
ALT: Boosting Deep Learning Performance by Breaking the Wall between
  Graph and Operator Level Optimizations
ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations
Zhiying Xu
Jiafan Xu
H. Peng
Wei Wang
Xiaoliang Wang
...
Haipeng Dai
Yixu Xu
Hao Cheng
Kun Wang
Guihai Chen
109
0
0
22 Oct 2022
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor
  Programs
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs
Yaoyao Ding
Cody Hao Yu
Bojian Zheng
Yizhi Liu
Yida Wang
Gennady Pekhimenko
94
32
0
18 Oct 2022
TensorIR: An Abstraction for Automatic Tensorized Program Optimization
TensorIR: An Abstraction for Automatic Tensorized Program Optimization
Siyuan Feng
Bohan Hou
Hongyi Jin
Wuwei Lin
Junru Shao
...
Zihao Ye
Lianmin Zheng
Cody Hao Yu
Yong Yu
Tianqi Chen
61
68
0
09 Jul 2022
A Survey of Multi-Tenant Deep Learning Inference on GPU
A Survey of Multi-Tenant Deep Learning Inference on GPU
Fuxun Yu
Di Wang
Longfei Shangguan
Minjia Zhang
Chenchen Liu
Xiang Chen
BDLAI4CE
87
33
0
17 Mar 2022
Query Processing on Tensor Computation Runtimes
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
178
37
0
03 Mar 2022
A Survey of Large-Scale Deep Learning Serving System Optimization:
  Challenges and Opportunities
A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities
Fuxun Yu
Di Wang
Longfei Shangguan
Minjia Zhang
Xulong Tang
Chenchen Liu
Xiang Chen
56
9
0
28 Nov 2021
Collage: Seamless Integration of Deep Learning Backends with Automatic
  Placement
Collage: Seamless Integration of Deep Learning Backends with Automatic Placement
Byungsoo Jeon
Sunghyun Park
Peiyuan Liao
Sheng Xu
Tianqi Chen
Zhihao Jia
VLM
87
5
0
01 Nov 2021
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal
  Padding
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding
Pratik Fegade
Tianqi Chen
Phillip B. Gibbons
T. Mowry
87
29
0
19 Oct 2021
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced
  Operator Fusion
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
Wei Niu
Jiexiong Guan
Yanzhi Wang
G. Agrawal
Bin Ren
AI4CE
78
153
0
30 Aug 2021
1