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DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph
  Optimization

DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization

11 July 2023
Simin Chen
Shiyi Wei
Cong Liu
Wei Yang
ArXivPDFHTML

Papers citing "DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization"

6 / 6 papers shown
Title
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of
  Language Models
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models
Yufei Li
Zexin Li
Wei Yang
Cong Liu
32
6
0
12 Sep 2023
DeepPerform: An Efficient Approach for Performance Testing of
  Resource-Constrained Neural Networks
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks
Simin Chen
Mirazul Haque
Cong Liu
Wei Yang
47
21
0
10 Oct 2022
LLMEffiChecker: Understanding and Testing Efficiency Degradation of
  Large Language Models
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models
Simin Chen
Cong Liu
Mirazul Haque
Wei Yang
34
21
0
07 Oct 2022
SparseTIR: Composable Abstractions for Sparse Compilation in Deep
  Learning
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
Zihao Ye
Ruihang Lai
Junru Shao
Tianqi Chen
Luis Ceze
78
91
0
11 Jul 2022
Learning to Reverse DNNs from AI Programs Automatically
Learning to Reverse DNNs from AI Programs Automatically
Simin Chen
Hamed Khanpour
Cong Liu
Wei Yang
35
15
0
20 May 2022
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
Zuxuan Wu
Caiming Xiong
Chih-Yao Ma
R. Socher
L. Davis
125
195
0
29 Nov 2018
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