Detecting and fixing precision-specific operations for measuring floating-point errors

Author:

Wang Ran1,Zou Daming1,He Xinrui1,Xiong Yingfei1,Zhang Lu1,Huang Gang1

Affiliation:

1. Peking University, China

Publisher

ACM

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Arfa: An Agile Regime-Based Floating-Point Optimization Approach for Rounding Errors;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

2. Eiffel: Inferring Input Ranges of Significant Floating-point Errors via Polynomial Extrapolation;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

3. COMET: Coverage-guided Model Generation For Deep Learning Library Testing;ACM Transactions on Software Engineering and Methodology;2023-07-21

4. Efficient Generation of Floating-Point Inputs for Compiler-Induced Variability;2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2023-03

5. Detecting High Floating-Point Errors via Ranking Analysis;2022 29th Asia-Pacific Software Engineering Conference (APSEC);2022-12

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