A new coupled cluster singles and doubles with triples correction, CCSD(T), algorithm is presented. The new algorithm is implemented in object oriented C++, has a low memory footprint, fast execution time, low I/O overhead, and a flexible storage backend with the ability to use either distributed memory or a file system for storage. The algorithm is demonstrated to work well on single workstations, a small cluster, and a high-end Cray computer. With the new implementation, a CCSD(T) calculation with several hundred basis functions and a few dozen occupied orbitals can run in under a day on a single workstation. The algorithm has also been implemented for graphical processing unit (GPU) architecture, giving a modest improvement. Benchmarks a...
In this work, we apply the recently proposed MP2 correction to incremental energies within the domai...
In this thesis the implementation of the explicitly correlated coupled-cluster singles-and-doubles m...
Several approximations are introduced and tested to reduce the computational expenses of the explici...
A parallel coupled cluster algorithm that combines distributed and shared memory techniques for the ...
An efficient and highly vectorized implementation of the coupled cluster singles and doubles (CCSD) ...
The coupled cluster singles and doubles (CCSD) algorithm in the NWChem software package has been opt...
The CCSD(T) coupled-cluster model with perturbative triples is considered a gold standard for comput...
We present a massive-parallel implementation of the resolution-of-identity (RI) coupled-cluster appr...
We present a near-linear scaling formulation of the explicitly correlated coupled-cluster singles an...
The coupled cluster singles and doubles (CCSD) model has been implemented using a direct atomic inte...
An efficient and highly vectorized implementation of the coupled cluster singles and doubles (CCSD) ...
A new implementation of the coupled cluster singles and doubles with approximate triples correction ...
A new implementation of the coupled cluster singles and doubles with approximate triples correction ...
The formalism for a relativistic open-shell CCSD(T) method is presented and implemented in a compute...
The coupled cluster singles and doubles (CCSD) model has been implemented using a direct atomic inte...
In this work, we apply the recently proposed MP2 correction to incremental energies within the domai...
In this thesis the implementation of the explicitly correlated coupled-cluster singles-and-doubles m...
Several approximations are introduced and tested to reduce the computational expenses of the explici...
A parallel coupled cluster algorithm that combines distributed and shared memory techniques for the ...
An efficient and highly vectorized implementation of the coupled cluster singles and doubles (CCSD) ...
The coupled cluster singles and doubles (CCSD) algorithm in the NWChem software package has been opt...
The CCSD(T) coupled-cluster model with perturbative triples is considered a gold standard for comput...
We present a massive-parallel implementation of the resolution-of-identity (RI) coupled-cluster appr...
We present a near-linear scaling formulation of the explicitly correlated coupled-cluster singles an...
The coupled cluster singles and doubles (CCSD) model has been implemented using a direct atomic inte...
An efficient and highly vectorized implementation of the coupled cluster singles and doubles (CCSD) ...
A new implementation of the coupled cluster singles and doubles with approximate triples correction ...
A new implementation of the coupled cluster singles and doubles with approximate triples correction ...
The formalism for a relativistic open-shell CCSD(T) method is presented and implemented in a compute...
The coupled cluster singles and doubles (CCSD) model has been implemented using a direct atomic inte...
In this work, we apply the recently proposed MP2 correction to incremental energies within the domai...
In this thesis the implementation of the explicitly correlated coupled-cluster singles-and-doubles m...
Several approximations are introduced and tested to reduce the computational expenses of the explici...