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- W4385336045 abstract "The Schrödinger equation is widely used in theoretical research in the fields of atomic and molecular physics, particle physics and nuclear physics, solid state physics, and photonics. As a first principle, it plays an important role in these applications. However, solving the Schrödinger equation numerically requires a relatively large amount of storage space and calculation. The emergence of modern graphics processing units (GPUs) provides an opportunity for the efficient solution of this equation. In this paper, on the basis of using the finite difference method to solve the three-dimensional Schrödinger equation algorithm, using the graphics processor Tesla V100 as the computing platform, through theoretical analysis and numerical simulation, using data structure layout and organization optimization, data merge reduction, synchronization elimination and merge kernel function optimization and other methods give full play to the hardware characteristics of the GPU and optimize the three-dimensional time-dependent algorithm for solving Schrödinger equation on the GPU. Experimental results show that, compared with the original GPU-based algorithm, the optimization method used in this paper can speed up the program by 1.476 times under the same number of loop iterations." @default.
- W4385336045 created "2023-07-29" @default.
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- W4385336045 date "2023-07-28" @default.
- W4385336045 modified "2023-09-24" @default.
- W4385336045 title "Optimization of three-dimensional finite difference time domain algorithm for solving Schrödinger equation" @default.
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- W4385336045 doi "https://doi.org/10.1117/12.2686139" @default.
- W4385336045 hasPublicationYear "2023" @default.
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