Communication: A reduced scaling J-engine based reformulation of SOS-MP2 using graphics processing units
Journal Article
·
· Journal of Chemical Physics
We present a low-prefactor, cubically scaling scaled-opposite-spin second-order Møller-Plesset perturbation theory (SOS-MP2) method which is highly suitable for massively parallel architectures like graphics processing units (GPU). The scaling is reduced from O(N{sup 5}) to O(N{sup 3}) by a reformulation of the MP2-expression in the atomic orbital basis via Laplace transformation and the resolution-of-the-identity (RI) approximation of the integrals in combination with efficient sparse algebra for the 3-center integral transformation. In contrast to previous works that employ GPUs for post Hartree-Fock calculations, we do not simply employ GPU-based linear algebra libraries to accelerate the conventional algorithm. Instead, our reformulation allows to replace the rate-determining contraction step with a modified J-engine algorithm, that has been proven to be highly efficient on GPUs. Thus, our SOS-MP2 scheme enables us to treat large molecular systems in an accurate and efficient manner on a single GPU-server.
- OSTI ID:
- 22419976
- Journal Information:
- Journal of Chemical Physics, Journal Name: Journal of Chemical Physics Journal Issue: 5 Vol. 141; ISSN JCPSA6; ISSN 0021-9606
- Country of Publication:
- United States
- Language:
- English
Similar Records
Atomic orbital-based SOS-MP2 with tensor hypercontraction. I. GPU-based tensor construction and exploiting sparsity
Analytical gradients for tensor hyper-contracted MP2 and SOS-MP2 on graphical processing units
The GPU-enabled divide-expand-consolidate RI-MP2 method (DEC-RI-MP2)
Journal Article
·
Sat May 07 00:00:00 EDT 2016
· Journal of Chemical Physics
·
OSTI ID:22657956
Analytical gradients for tensor hyper-contracted MP2 and SOS-MP2 on graphical processing units
Journal Article
·
Mon Aug 28 20:00:00 EDT 2017
· Journal of Chemical Physics
·
OSTI ID:1410666
The GPU-enabled divide-expand-consolidate RI-MP2 method (DEC-RI-MP2)
Journal Article
·
Tue Dec 06 23:00:00 EST 2016
· Journal of Computational Chemistry
·
OSTI ID:1565538