Multiple ERI (Electron Repulsion Integral) tensor contractions (METC) with several matrices are ubiquitous in quantum chemistry. In response theories, the contraction operation, rather than ERI computations, can be the major bottleneck, as its computational demands are proportional to the multiplicatively combined contributions of the number of excited states and the kernel pre-factors. This paper presents several high-performance strategies for METC. Optimal approaches involve either the data layout reformations of interim density and Fock matrices, the introduction of intermediate ERI quartet buffer, and loop-reordering optimization for a higher cache hit rate. The combined strategies remarkably improve the performance of the MRSF (mixed reference spin flip)-TDDFT (time-dependent density functional theory) by nearly 300%. The results of this study are not limited to the MRSF-TDDFT method and can be applied to other METC scenarios.
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15 May 2023
Research Article|
May 15 2023
High-performance strategies for the recent MRSF-TDDFT in GAMESS
Special Collection:
High Performance Computing in Chemical Physics
Konstantin Komarov
;
Konstantin Komarov
(Investigation, Validation)
1
Center for Quantum Dynamics, Pohang University of Science and Technology
, Pohang 37673, South Korea
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Vladimir Mironov
;
Vladimir Mironov
(Conceptualization, Investigation, Supervision, Writing – original draft)
2
Department of Chemistry, Kyungpook National University
, Daegu 41566, South Korea
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Seunghoon Lee
;
Seunghoon Lee
(Methodology)
3
Division of Chemistry and Chemical Engineering, California Institute of Technology
, Pasadena, California 91125, USA
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Buu Q. Pham
;
Buu Q. Pham
(Data curation, Formal analysis, Writing – review & editing)
4
Department of Chemistry and Ames Laboratory, Iowa State University
, Ames, Iowa 50011, USA
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Mark S. Gordon
;
Mark S. Gordon
a)
(Supervision, Writing – review & editing)
4
Department of Chemistry and Ames Laboratory, Iowa State University
, Ames, Iowa 50011, USA
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Cheol Ho Choi
Cheol Ho Choi
b)
(Conceptualization, Supervision, Writing – original draft)
2
Department of Chemistry, Kyungpook National University
, Daegu 41566, South Korea
b)Author to whom correspondence should be addressed: [email protected]
Search for other works by this author on:
Konstantin Komarov
1
Vladimir Mironov
2
Seunghoon Lee
3
Buu Q. Pham
4
Mark S. Gordon
4,a)
Cheol Ho Choi
2,b)
1
Center for Quantum Dynamics, Pohang University of Science and Technology
, Pohang 37673, South Korea
2
Department of Chemistry, Kyungpook National University
, Daegu 41566, South Korea
3
Division of Chemistry and Chemical Engineering, California Institute of Technology
, Pasadena, California 91125, USA
4
Department of Chemistry and Ames Laboratory, Iowa State University
, Ames, Iowa 50011, USA
b)Author to whom correspondence should be addressed: [email protected]
a)
Electronic mail: [email protected]
Note: This paper is part of the JCP Special Topic on High Performance Computing in Chemical Physics.
J. Chem. Phys. 158, 194105 (2023)
Article history
Received:
February 28 2023
Accepted:
May 02 2023
Citation
Konstantin Komarov, Vladimir Mironov, Seunghoon Lee, Buu Q. Pham, Mark S. Gordon, Cheol Ho Choi; High-performance strategies for the recent MRSF-TDDFT in GAMESS. J. Chem. Phys. 15 May 2023; 158 (19): 194105. https://doi.org/10.1063/5.0148005
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