The performance of low‐cost commercial cloud computing as an alternative in computational chemistry

The growth of commercial cloud computing (CCC) as a viable means of computational infrastructure is largely unexplored for the purposes of quantum chemistry. In this work, the PSI4 suite of computational chemistry programs is installed on five different types of Amazon World Services CCC platforms. The performance for a set of electronically excited state single‐point energies is compared between these CCC platforms and typical, “in‐house” physical machines. Further considerations are made for the number of cores or virtual CPUs (vCPUs, for the CCC platforms), but no considerations are made for full parallelization of the program (even though parallelization of the BLAS library is implemented), complete high‐performance computing cluster utilization, or steal time. Even with this most pessimistic view of the computations, CCC resources are shown to be more cost effective for significant numbers of typical quantum chemistry computations. Large numbers of large computations are still best utilized by more traditional means, but smaller‐scale research may be more effectively undertaken through CCC services. © 2015 Wiley Periodicals, Inc.

[1]  T. Crawford,et al.  An Introduction to Coupled Cluster Theory for Computational Chemists , 2007 .

[2]  Yassene Mohammed,et al.  Cloud parallel processing of tandem mass spectrometry based proteomics data. , 2012, Journal of proteome research.

[3]  Isaiah Shavitt,et al.  Many-Body Methods in Chemistry and Physics: MBPT and Coupled-Cluster Theory , 2009 .

[4]  Anna I Krylov,et al.  Equation-of-motion coupled-cluster methods for open-shell and electronically excited species: the Hitchhiker's guide to Fock space. , 2008, Annual review of physical chemistry.

[5]  Luis Rodero-Merino,et al.  A break in the clouds: towards a cloud definition , 2008, CCRV.

[6]  Gustavo E. Scuseria,et al.  Achieving Chemical Accuracy with Coupled-Cluster Theory , 1995 .

[7]  T. Crawford,et al.  Theoretical prediction of new dipole-bound singlet states for anions of interstellar interest. , 2011, The Journal of chemical physics.

[8]  T. Crawford,et al.  A benchmark study of the vertical electronic spectra of the linear chain radicals C(2)H and C(4)H. , 2010, The Journal of chemical physics.

[9]  Timothy J. Lee,et al.  A procedure for computing accurate ab initio quartic force fields: Application to HO2+ and H2O. , 2008, The Journal of chemical physics.

[10]  T. H. Dunning Gaussian basis sets for use in correlated molecular calculations. I. The atoms boron through neon and hydrogen , 1989 .

[11]  T. Dunning,et al.  Electron affinities of the first‐row atoms revisited. Systematic basis sets and wave functions , 1992 .

[12]  Julia E. Rice,et al.  Analytic evaluation of energy gradients for the single and double excitation coupled cluster (CCSD) wave function: Theory and application , 1987 .

[13]  Trygve Helgaker,et al.  A priori calculation of molecular properties to chemical accuracy , 2004 .

[14]  Timothy J. Lee,et al.  On the Use of Quartic Force Fields in Variational Calculations , 2013 .

[15]  Matthew L. Leininger,et al.  Psi4: an open‐source ab initio electronic structure program , 2012 .

[16]  John F. Stanton,et al.  The equation of motion coupled‐cluster method. A systematic biorthogonal approach to molecular excitation energies, transition probabilities, and excited state properties , 1993 .

[17]  Rajkumar Buyya,et al.  Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Cloud Computing and Emerging It Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility , 2022 .

[18]  Kirk A. Peterson,et al.  BENCHMARK CALCULATIONS WITH CORRELATED MOLECULAR WAVE FUNCTIONS. VII: BINDING ENERGY AND STRUCTURE OF THE HF DIMER , 1995 .

[19]  J. Pople,et al.  Self—Consistent Molecular Orbital Methods. XII. Further Extensions of Gaussian—Type Basis Sets for Use in Molecular Orbital Studies of Organic Molecules , 1972 .

[20]  Andrzej M. Goscinski,et al.  A unified framework for the deployment, exposure and access of HPC applications as services in clouds , 2013, Future Gener. Comput. Syst..