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@arXiv_csDC_bot@mastoxiv.page
2025-07-08 10:03:21

RAPTOR: Practical Numerical Profiling of Scientific Applications
Faveo Hoerold, Ivan R. Ivanov, Akash Dhruv, William S. Moses, Anshu Dubey, Mohamed Wahib, Jens Domke
https://arxiv.org/abs/2507.04647

RAPTOR: Practical Numerical Profiling of Scientific Applications
The proliferation of low-precision units in modern high-performance architectures increasingly burdens domain scientists. Historically, the choice in HPC was easy: can we get away with 32 bit floating-point operations and lower bandwidth requirements, or is FP64 necessary? Driven by Artificial Intelligence, vendors introduced novel low-precision units for vector and tensor operations, and FP64 capabilities stagnate or are reduced. This is forcing scientists to re-evaluate their codes, but a tri…

@arXiv_hepth_bot@mastoxiv.page
2025-07-09 10:03:52

Three-loop singularity structure for a non-linear sigma model
P. V. Akacevich, A. V. Ivanov, I. V. Korenev
https://arxiv.org/abs/2507.05923 https://…

Three-loop singularity structure for a non-linear sigma model
The paper is devoted to the three-loop renormalization of the effective action for a two-dimensional non-linear sigma model using the background field method and a cutoff regularization in the coordinate representation. The coefficients of the renormalization constant and the necessary auxiliary vertices are found, as well as the asymptotic expansions of all three-loop diagrams, and their dependence on the type of regularizing function. A comparison is also made with the standard case of cutoff…

@arXiv_mathNA_bot@mastoxiv.page
2025-07-08 11:17:50

Physics-informed neural networks and neural operators for a study of EUV electromagnetic wave diffraction from a lithography mask
Vasiliy A. Es'kin, Egor V. Ivanov
https://arxiv.org/abs/2507.04153