| Literature DB >> 31082265 |
Yann Garniron1, Thomas Applencourt2, Kevin Gasperich2,3, Anouar Benali2, Anthony Ferté4, Julien Paquier4, Barthélémy Pradines4,5, Roland Assaraf4, Peter Reinhardt4, Julien Toulouse4, Pierrette Barbaresco6, Nicolas Renon6, Grégoire David7, Jean-Paul Malrieu1, Mickaël Véril1, Michel Caffarel1, Pierre-François Loos1, Emmanuel Giner4, Anthony Scemama1.
Abstract
Quantum chemistry is a discipline which relies heavily on very expensive numerical computations. The scaling of correlated wave function methods lies, in their standard implementation, between O(N5) and O(eN) , where N is proportional to the system size. Therefore, performing accurate calculations on chemically meaningful systems requires (i) approximations that can lower the computational scaling and (ii) efficient implementations that take advantage of modern massively parallel architectures. Quantum Package is an open-source programming environment for quantum chemistry specially designed for wave function methods. Its main goal is the development of determinant-driven selected configuration interaction (sCI) methods and multireference second-order perturbation theory (PT2). The determinant-driven framework allows the programmer to include any arbitrary set of determinants in the reference space, hence providing greater methodological freedom. The sCI method implemented in Quantum Package is based on the CIPSI (Configuration Interaction using a Perturbative Selection made Iteratively) algorithm which complements the variational sCI energy with a PT2 correction. Additional external plugins have been recently added to perform calculations with multireference coupled cluster theory and range-separated density-functional theory. All the programs are developed with the IRPF90 code generator, which simplifies collaborative work and the development of new features. Quantum Package strives to allow easy implementation and experimentation of new methods, while making parallel computation as simple and efficient as possible on modern supercomputer architectures. Currently, the code enables, routinely, to realize runs on roughly 2 000 CPU cores, with tens of millions of determinants in the reference space. Moreover, we have been able to push up to 12 288 cores in order to test its parallel efficiency. In the present manuscript, we also introduce some key new developments: (i) a renormalized second-order perturbative correction for efficient extrapolation to the full CI limit and (ii) a stochastic version of the CIPSI selection performed simultaneously to the PT2 calculation at no extra cost.Year: 2019 PMID: 31082265 DOI: 10.1021/acs.jctc.9b00176
Source DB: PubMed Journal: J Chem Theory Comput ISSN: 1549-9618 Impact factor: 6.006