Despite the power and flexibility of configuration interaction (CI) based methods in computational chemistry, their broader application is limited by an exponential increase in both computational and storage requirements, particularly due to the substantial memory needed for excitation lists that are crucial for scalable parallel computing. The objective of this work is to develop a new CI framework, namely, the small tensor product distributed active space (STP-DAS) framework, aimed at drastically reducing memory demands for extensive CI calculations on individual workstations or laptops, while simultaneously enhancing scalability for extensive parallel computing. Moreover, the STP-DAS framework can support various CI-based techniques, such as complete active space (CAS), restricted active space, generalized active space, multireference CI, and multireference perturbation theory, applicable to both relativistic (two- and four-component) and non-relativistic theories, thus extending the utility of CI methods in computational research. We conducted benchmark studies on a supercomputer to evaluate the storage needs, parallel scalability, and communication downtime using a realistic exact-two-component CASCI (X2C-CASCI) approach, covering a range of determinants from 109 to 1012. Additionally, we performed large X2C-CASCI calculations on a single laptop and examined how the STP-DAS partitioning affects performance.
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Small tensor product distributed active space (STP-DAS) framework for relativistic and non-relativistic multiconfiguration calculations: Scaling from 109 on a laptop to 1012 determinants on a supercomputer
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December 2024
Research Article|
October 29 2024
Small tensor product distributed active space (STP-DAS) framework for relativistic and non-relativistic multiconfiguration calculations: Scaling from 109 on a laptop to 1012 determinants on a supercomputer
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Hang Hu;
Hang Hu
(Conceptualization, Investigation, Software, Validation, Writing – original draft, Writing – review & editing)
1
Molecular Engineering and Sciences Institute, University of Washington
, Seattle, Washington 98195, USA
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Shiv Upadhyay
;
Shiv Upadhyay
(Data curation, Formal analysis, Investigation, Software, Writing – original draft, Writing – review & editing)
2
Department of Chemistry, University of Washington
, Seattle, Washington 98195, USA
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Lixin Lu
;
Lixin Lu
(Conceptualization, Software, Writing – original draft, Writing – review & editing)
2
Department of Chemistry, University of Washington
, Seattle, Washington 98195, USA
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Andrew J. Jenkins
;
Andrew J. Jenkins
(Conceptualization, Methodology, Software, Writing – original draft, Writing – review & editing)
2
Department of Chemistry, University of Washington
, Seattle, Washington 98195, USA
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Tianyuan Zhang
;
Tianyuan Zhang
(Conceptualization, Methodology, Project administration, Software, Writing – original draft, Writing – review & editing)
2
Department of Chemistry, University of Washington
, Seattle, Washington 98195, USA
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Agam Shayit
;
Agam Shayit
(Investigation, Methodology, Software)
3
Department of Physics, University of Washington
, Seattle, Washington 98195, USA
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Stefan Knecht
;
Stefan Knecht
(Conceptualization, Investigation, Project administration, Validation, Writing – original draft, Writing – review & editing)
4
Algorithmiq Ltd.
, Kanavakatu 3C, FI-00160 Helsinki, Finland
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Xiaosong Li
Xiaosong Li
a)
(Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing)
2
Department of Chemistry, University of Washington
, Seattle, Washington 98195, USA
a)Author to whom correspondence should be addressed: [email protected]
Search for other works by this author on:
Hang Hu
1
Shiv Upadhyay
2
Lixin Lu
2
Andrew J. Jenkins
2
Tianyuan Zhang
2
Agam Shayit
3
Stefan Knecht
4
Xiaosong Li
2,a)
1
Molecular Engineering and Sciences Institute, University of Washington
, Seattle, Washington 98195, USA
2
Department of Chemistry, University of Washington
, Seattle, Washington 98195, USA
3
Department of Physics, University of Washington
, Seattle, Washington 98195, USA
4
Algorithmiq Ltd.
, Kanavakatu 3C, FI-00160 Helsinki, Finland
a)Author to whom correspondence should be addressed: [email protected]
Chem. Phys. Rev. 5, 041404 (2024)
Article history
Received:
July 06 2024
Accepted:
September 30 2024
Citation
Hang Hu, Shiv Upadhyay, Lixin Lu, Andrew J. Jenkins, Tianyuan Zhang, Agam Shayit, Stefan Knecht, Xiaosong Li; Small tensor product distributed active space (STP-DAS) framework for relativistic and non-relativistic multiconfiguration calculations: Scaling from 109 on a laptop to 1012 determinants on a supercomputer. Chem. Phys. Rev. 1 December 2024; 5 (4): 041404. https://doi.org/10.1063/5.0227122
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