Discovering Parallelisms in Python Programs

Author:

Wei Siwei1,Song Guyang2,Zhu Senlin3,Ruan Ruoyi3,Zhu Shihao1,Cai Yan1

Affiliation:

1. Institute of Software at Chinese Academy of Sciences, Beijing, China / University of Chinese Academy of Sciences, Beijing, China

2. AntGroup, Beijing, China

3. AntGroup, Hangzhou, China

Publisher

ACM

Reference59 articles.

1. [n. d.]. ast — Abstract Syntax Trees. https://docs.python.org/3/library/ast.html Accessed: 2022-12-21 [n. d.]. ast — Abstract Syntax Trees. https://docs.python.org/3/library/ast.html Accessed: 2022-12-21

2. [n. d.]. ast — Abstract Syntax Trees. https://docs.python.org/3/library/ast.html#ast.comprehension Accessed: 2022-12-21 [n. d.]. ast — Abstract Syntax Trees. https://docs.python.org/3/library/ast.html#ast.comprehension Accessed: 2022-12-21

3. [n. d.]. Awesome Python. https://github.com/vinta/awesome-python Accessed: 2022-12-21 [n. d.]. Awesome Python. https://github.com/vinta/awesome-python Accessed: 2022-12-21

4. [n. d.]. Awesome Scientific Computing. https://github.com/nschloe/awesome-scientific-computing Accessed: 2022-12-21 [n. d.]. Awesome Scientific Computing. https://github.com/nschloe/awesome-scientific-computing Accessed: 2022-12-21

5. [n. d.]. Basic Installation - trimesh 3.17.1 documentation. https://trimsh.org/ Accessed: 2022-12-21 [n. d.]. Basic Installation - trimesh 3.17.1 documentation. https://trimsh.org/ Accessed: 2022-12-21

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