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The General Atomic and Molecular Electronic Structure System (GAMESS): Novel Methods on Novel Architectures.
Federico Zahariev1, Peng Xu1, Bryce M Westheimer1
1Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States.
Journal of Chemical Theory and Computation
|October 4, 2023
Summary
GAMESS software development focuses on high-performance computing for advanced architectures. New methods improve computational efficiency and enable novel analysis of chemical bonds.
Area of Science:
- Computational chemistry
- High-performance computing
- Quantum chemistry
Background:
- GAMESS (General Atomic and Molecular Electronic Structure System) has focused on enhancing computational efficiency.
- Advanced computer architectures, including CPUs and accelerators, present opportunities for computational chemistry.
- Accurate quantum chemical calculations, particularly for correlated methods, are computationally demanding.
Purpose of the Study:
- To detail recent advancements in GAMESS software over the past five years.
- To highlight the development of high-performance codes for modern computing architectures.
- To introduce new functionalities for analyzing complex wave functions and discuss software maintenance.
Main Methods:
- Development of high-performance codes leveraging advanced CPU and accelerator architectures.
- Implementation of density fitting and fragmentation methods to reduce computational scaling for correlated methods.
- Creation of novel codes optimized for graphical processing units (GPUs) and other accelerators.
- Introduction of quasi-atomic orbital (QTAO) analysis for wave function interpretation.
Main Results:
- Effective utilization of advanced computer architectures for quantum chemistry calculations.
- Significant reduction in the computational cost of well-correlated methods through density fitting and fragmentation.
- Optimized performance on GPUs and other accelerators for complex electronic structure calculations.
- Development of QTAO analysis as a tool for understanding covalent bonding within wave functions.
Conclusions:
- GAMESS has successfully adapted to and exploited modern high-performance computing architectures.
- New computational strategies enhance the efficiency and applicability of advanced quantum chemical methods.
- Quasi-atomic orbital analysis provides a valuable, unbiased method for interpreting chemical bonds.
- Best practices for GAMESS maintenance and distribution ensure continued usability and development.
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