Login / Signup

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

Federico ZaharievPeng XuBryce M WestheimerSimon P WebbJorge Galvez VallejoAnanta TiwariVaibhav SundriyalMasha SosonkinaJun ShenGeorge SchoendorffMegan SchlinsogTosaporn SattasathuchanaKlaus RuedenbergLuke B RoskopAlistair P RendellDavid PoolePiotr PiecuchBuu Q PhamVladimir MironovJoani MatoSam LeonardSarom S LeangJoe IvanicJackson HayesTaylor HarvilleKarthik GururanganEmilie B GuidezIgor S GerasimovChristian FriedlKatherine N FerrerasGeorge ElliottDipayan DattaDaniel Del Angel CruzLaura CarringtonColleen BertoniGiuseppe M J BarcaMelisa AlkanMark S Gordon
Published in: Journal of chemical theory and computation (2023)
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.
Keyphrases
  • primary care
  • healthcare
  • deep learning
  • high resolution
  • machine learning
  • quality improvement
  • single molecule
  • data analysis