The General Atomic and Molecular Electronic Structure System (GAMESS): Novel Methods on Novel Architectures

Federico Zahariev, Peng Xu, Bryce M. Westheimer, Simon Webb, Jorge Galvez Vallejo, Ananta Tiwari, Vaibhav Sundriyal, Masha Sosonkina, Jun Shen, George Schoendorff, Megan Schlinsog, Tosaporn Sattasathuchana, Klaus Ruedenberg, Luke B. Roskop, Alistair P. Rendell, David Poole, Piotr Piecuch, Buu Q. Pham, Vladimir Mironov, Joani MatoSam Leonard, Sarom S. Leang, Joe Ivanic, Jackson Hayes, Taylor Harville, Karthik Gururangan, Emilie Guidez, Igor S. Gerasimov, Christian Friedl, Katherine N. Ferreras, George Elliott, Dipayan Datta, Daniel Del Angel Cruz, Laura Carrington, Colleen Bertoni, Giuseppe M.J. Barca, Melisa Alkan, Mark S. Gordon

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

The primary focus of GAMESS over the last 5 years has been the development of new high-performance codes that are able to take effective and efficient advantage of the most advanced computer architectures, both CPU and accelerators. These efforts include employing density fitting and fragmentation methods to reduce the high scaling of well-correlated (e.g., coupled-cluster) methods as well as developing novel codes that can take optimal advantage of graphical processing units and other modern accelerators. Because accurate wave functions can be very complex, an important new functionality in GAMESS is the quasi-atomic orbital analysis, an unbiased approach to the understanding of covalent bonds embedded in the wave function. Best practices for the maintenance and distribution of GAMESS are also discussed.

Original languageEnglish
Pages (from-to)7031-7055
Number of pages25
JournalJournal of Chemical Theory and Computation
Volume19
Issue number20
Early online date4 Oct 2023
DOIs
Publication statusPublished - 24 Oct 2023

Keywords

  • Algorithms
  • Basis sets
  • Chemical calculations
  • Circuits
  • Fragmentation

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