Pushing the Limit of Quantum Mechanical Simulation to the Raman Spectra of a Biological System with 100 Million Atoms

Raman spectroscopy offers invaluable insights into the chemical composition and structural characteristics of various materials, making it a powerful tool for structural analysis. However, accurate quantum mechanical simulations of Raman spectra for large systems, such as biological materials, have...

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Published in:SC24: International Conference for High Performance Computing, Networking, Storage and Analysis pp. 1 - 12
Main Authors: Shang, Honghui, Liu, Ying, Wu, Zhikun, Chen, Zhenchuan, Liu, Jinfeng, Shao, Meiyue, Li, Yingzhou, Kan, Bowen, Cui, Huimin, Feng, Xiaobing, Zhang, Yunquan, Truhlar, Donald G., An, Hong, He, Xiao, Yang, Jinlong
Format: Conference Proceeding
Language:English
Published: IEEE 17.11.2024
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Abstract Raman spectroscopy offers invaluable insights into the chemical composition and structural characteristics of various materials, making it a powerful tool for structural analysis. However, accurate quantum mechanical simulations of Raman spectra for large systems, such as biological materials, have been limited due to immense computational costs and technical challenges. In this study, we developed efficient algorithms and optimized implementations on heterogeneous computing architectures to enable fast and highly scalable ab initio simulations of Raman spectra for large-scale biological systems with up to 100 million atoms. Our simulations have achieved nearly linear strong and weak scaling on two cutting-edge high-performance computing systems, with peak FP64 performances reaching 400 PFLOPS on 96,000 nodes of new Sunway supercomputer and 85 PFLOPS on 6,000 node of ORISE supercomputer. These advances provide promising prospects for extending quantum mechanical simulations to biological systems.
AbstractList Raman spectroscopy offers invaluable insights into the chemical composition and structural characteristics of various materials, making it a powerful tool for structural analysis. However, accurate quantum mechanical simulations of Raman spectra for large systems, such as biological materials, have been limited due to immense computational costs and technical challenges. In this study, we developed efficient algorithms and optimized implementations on heterogeneous computing architectures to enable fast and highly scalable ab initio simulations of Raman spectra for large-scale biological systems with up to 100 million atoms. Our simulations have achieved nearly linear strong and weak scaling on two cutting-edge high-performance computing systems, with peak FP64 performances reaching 400 PFLOPS on 96,000 nodes of new Sunway supercomputer and 85 PFLOPS on 6,000 node of ORISE supercomputer. These advances provide promising prospects for extending quantum mechanical simulations to biological systems.
Author Liu, Jinfeng
Chen, Zhenchuan
Li, Yingzhou
Yang, Jinlong
Feng, Xiaobing
Wu, Zhikun
Shao, Meiyue
Kan, Bowen
Zhang, Yunquan
Liu, Ying
Truhlar, Donald G.
An, Hong
Shang, Honghui
Cui, Huimin
He, Xiao
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  organization: University of Science and Technology of China,Key Laboratory of Precision and Intelligent Chemistry,Hefei,China
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  organization: University of Minnesota,Department of Chemistry,Minneapolis,MN,USA
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  organization: University of Science and Technology of China,Key Laboratory of Precision and Intelligent Chemistry,Hefei,China
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  organization: East China Normal University,Shanghai Frontiers Science Center of Molecule Intelligent Syntheses, School of Chemistry and Molecular Engineering,Shanghai,China
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  givenname: Jinlong
  surname: Yang
  fullname: Yang, Jinlong
  organization: University of Science and Technology of China,Key Laboratory of Precision and Intelligent Chemistry,Hefei,China
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Snippet Raman spectroscopy offers invaluable insights into the chemical composition and structural characteristics of various materials, making it a powerful tool for...
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SubjectTerms all-electron quantum perturbation simulation
Atoms
Biological system modeling
Biological systems
Computational modeling
heterogeneous architectures
High performance computing
Perturbation methods
Quantum computing
Quantum mechanics
Raman scattering
Raman spectra
scalability
Supercomputers
Title Pushing the Limit of Quantum Mechanical Simulation to the Raman Spectra of a Biological System with 100 Million Atoms
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