Coupled cluster theory on modern heterogeneous supercomputers

Hector H Corzo, Andreas Erbs Hillers-Bendtsen, Ashleigh Barnes, Abdulrahman Y Zamani, Filip Pawłowski, Jeppe Olsen, Poul Jørgensen, Kurt V Mikkelsen, Dmytro Bykov*

*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review


This study examines the computational challenges in elucidating intricate chemical systems, particularly through ab-initio methodologies. This work highlights the Divide-Expand-Consolidate (DEC) approach for coupled cluster (CC) theory-a linear-scaling, massively parallel framework-as a viable solution. Detailed scrutiny of the DEC framework reveals its extensive applicability for large chemical systems, yet it also acknowledges inherent limitations. To mitigate these constraints, the cluster perturbation theory is presented as an effective remedy. Attention is then directed towards the CPS (D-3) model, explicitly derived from a CC singles parent and a doubles auxiliary excitation space, for computing excitation energies. The reviewed new algorithms for the CPS (D-3) method efficiently capitalize on multiple nodes and graphical processing units, expediting heavy tensor contractions. As a result, CPS (D-3) emerges as a scalable, rapid, and precise solution for computing molecular properties in large molecular systems, marking it an efficient contender to conventional CC models.

Original languageEnglish
Article number1154526
JournalFrontiers in chemistry
Number of pages24
Publication statusPublished - Jun 2023


  • cluster perturbation theory
  • coupled cluster theory
  • deoxyribonucleic acid
  • divide-expand-consolidate coupled cluster framework
  • excitation energies
  • tetrahydrocannabinol


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