A unified methodology achieves floating-point consistent results across DDSCAT, ADDA, and IFDDA solvers and enables fair CPU/GPU benchmarking with provided equivalence tables and software.
Lanier, Learning to precondition: Reinforcement learning enhanced three-level circulant preconditioning for the discrete dipole approxima- tion, J
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Floating-point consistent cross-verification methodology for reproducible and interoperable DDA solvers with fair benchmarking
A unified methodology achieves floating-point consistent results across DDSCAT, ADDA, and IFDDA solvers and enables fair CPU/GPU benchmarking with provided equivalence tables and software.