Improved CUDA programs solve the dipolar Gross-Pitaevskii equation, highlighting advancements in GPU speed.
This paper introduces an improved version of our previous CUDA programs [1] for solving the dipolar Gross-Pitaevskii equation in three spatial dimensions, now incorporating a quantum fluctuation term [2] , [3] , [4] . This enhancement is vital for accurately modeling quantum dipolar droplets [5] , [6] in dipolar Bose-Einstein condensates. Originally developed in C, the code has been transitioned to C++ to take advantage of its features. Speedup tests were conducted on two types of GPU cards – one commercial and one HPC-optimized – and the results were compared to earlier versions on GPUs and a modern HPC cluster. Both configurations showed an increase in speed.
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Mujo et al. (2026) studied this question.
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