在基于混合CPU-GPU架构上的大规模并行张量网络状态算法

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Andor Menczer1,2, Örs Legeza1,3

  • 1Strongly Correlated Systems "Lendület" Research Group, Wigner Research Centre for Physics, H-1525 Budapest, Hungary.

Journal of chemical theory and computation
|February 4, 2025
PubMed
概括

这项研究增强了用于高性能计算 (HPC) 的张量网络状态 (TNS) 算法,从而实现更大的量子模拟. 新的方法推动了对强烈相关的分子的计算界限.

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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