TY - JOUR
T1 - Parallel implementation of efficient charge–charge interaction evaluation scheme in periodic divide-and-conquer density-functional tight-binding calculations
AU - Nishimura, Yoshifumi
AU - Nakai, Hiromi
N1 - Funding Information:
[a] Y. Nishimura, H. Nakai Research Institute for Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan E-mail: nakai@waseda.jp [b] H. Nakai Department of Chemistry and Biochemistry, School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan [c] H. Nakai CREST, Japan Science and Technology Agency, 4-1-8 Honcho, Kawaguchi 332-0012, Japan [d] H. Nakai ESICB, Kyoto University, Kyotodaigaku-Katsura, Kyoto 615-8520, Japan Contract grant sponsor: Ministry of Education, Culture, Sports, Science and Technology (Priority Issue 5 on Post-K computer; Development of new fundamental technologies for high-efficiency energy creation, con-version/storage, and use) VC 2017 Wiley Periodicals, Inc.
Publisher Copyright:
© 2017 Wiley Periodicals, Inc.
PY - 2018/1/15
Y1 - 2018/1/15
N2 - A low-computational-cost algorithm and its parallel implementation for periodic divide-and-conquer density-functional tight-binding (DC-DFTB) calculations are presented. The developed algorithm enables rapid computation of the interaction between atomic partial charges, which is the bottleneck for applications to large systems, by means of multipole- and interpolation-based approaches for long- and short-range contributions. The numerical errors of energy and forces with respect to the conventional Ewald-based technique can be under the control of the multipole expansion order, level of unit cell replication, and interpolation grid size. The parallel performance of four different evaluation schemes combining previous approaches and the proposed one are assessed using test calculations of a cubic water box on the K computer. The largest benchmark system consisted of 3,295,500 atoms. DC-DFTB energy and forces for this system were obtained in only a few minutes when the proposed algorithm was activated and parallelized over 16,000 nodes in the K computer. The high performance using a single node workstation was also confirmed. In addition to liquid water systems, the feasibility of the present method was examined by testing solid systems such as diamond form of carbon, face-centered cubic form of copper, and rock salt form of sodium chloride.
AB - A low-computational-cost algorithm and its parallel implementation for periodic divide-and-conquer density-functional tight-binding (DC-DFTB) calculations are presented. The developed algorithm enables rapid computation of the interaction between atomic partial charges, which is the bottleneck for applications to large systems, by means of multipole- and interpolation-based approaches for long- and short-range contributions. The numerical errors of energy and forces with respect to the conventional Ewald-based technique can be under the control of the multipole expansion order, level of unit cell replication, and interpolation grid size. The parallel performance of four different evaluation schemes combining previous approaches and the proposed one are assessed using test calculations of a cubic water box on the K computer. The largest benchmark system consisted of 3,295,500 atoms. DC-DFTB energy and forces for this system were obtained in only a few minutes when the proposed algorithm was activated and parallelized over 16,000 nodes in the K computer. The high performance using a single node workstation was also confirmed. In addition to liquid water systems, the feasibility of the present method was examined by testing solid systems such as diamond form of carbon, face-centered cubic form of copper, and rock salt form of sodium chloride.
KW - density-functional tight-binding method
KW - divide-and-conquer method
KW - massively parallel calculation
KW - multipole expansion
KW - periodic boundary condition
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U2 - 10.1002/jcc.25086
DO - 10.1002/jcc.25086
M3 - Article
C2 - 29047123
AN - SCOPUS:85031499582
SN - 0192-8651
VL - 39
SP - 105
EP - 116
JO - Journal of Computational Chemistry
JF - Journal of Computational Chemistry
IS - 2
ER -