Optimization of Light-Front Hamiltonian Generation for Domestic Heterogeneous Platforms

The Basis Light-Front Quantization (BLFQ) method is considered a promising approach for achieving first-principles calculations of nucleons, with its key challenge being the expansion of basis states to improve computational accuracy. However, increasing the number of basis states leads to an expone...

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Bibliographic Details

Published in:	2025 8th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) pp. 93 - 97
Main Authors:	Han, Yumeng, Tao, Chenbo, Liu, Jie, Xu, Siqi, Zhao, Xingbo, Wu, Peng, Han, Mengzhi, Cao, Wudi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 09.05.2025
Subjects:	Basis Light-Front Quantization (BLFQ) Computational efficiency GPU-like Computation Light-Front Hamiltonian Limiting MPI Optimization Parallel processing Quantization (signal) Refining Scalability Software engineering Solids Sorting
Online Access:	Get full text
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