Impacts of Floating-Point Non-Associativity on Reproducibility for HPC and Deep Learning Applications

Sanjif Shanmugavelu, Mathieu Taillefumier, Christopher Culver,Oscar Hernandez,Mark Coletti,Ada Sedova

SC-W '24 Proceedings of the SC '24 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis（2025）

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Reproducibility of results,floating-point arithmetic,parallel programming,high-performance computing,deep learning

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