Fuzzing Deep Learning Compilers with HirGen-Reference-Cited by-同舟云学术

Fuzzing Deep Learning Compilers with HirGen

Published:2023-07-12 Issue: Volume: Page:
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Container-title:Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis
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Author:

Ma Haoyang¹,Shen Qingchao²,Tian Yongqiang³,Chen Junjie²,Cheung Shing-Chi¹

Affiliation:

1. Hong Kong University of Science and Technology, China

2. Tianjin University, China

3. University of Waterloo, Canada / Hong Kong University of Science and Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3597926.3598053

Reference39 articles.

1. 2016. XLA: Optimizing Compiler for Machine Learning. https://www.tensorflow.org/xla 2016. XLA: Optimizing Compiler for Machine Learning. https://www.tensorflow.org/xla

2. 2020. TVMFuzz. https://github.com/dpankratz/TVMFuzz 2020. TVMFuzz. https://github.com/dpankratz/TVMFuzz

3. 2022. Keras. https://keras.io/ 2022. Keras. https://keras.io/

4. 2022. ONNX. https://onnx.ai/ 2022. ONNX. https://onnx.ai/

5. 2023. HirGen’s Optimizations. https://github.com/haoyang9804/HirGen/blob/experiment/optimizations 2023. HirGen’s Optimizations. https://github.com/haoyang9804/HirGen/blob/experiment/optimizations

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