People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Martinez, Todd J.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2015Quantum Chemistry for Solvated Molecules on Graphical Processing Units Using Polarizable Continuum Modelscitations
- 2015An atomic orbital-based formulation of analytical gradients and nonadiabatic coupling vector elements for the state-averaged complete active space self-consistent field method on graphical processing unitscitations
- 2014Ab Initio Nonadiabatic Dynamics of Multichromophore Complexes: A Scalable Graphical-Processing-Unit-Accelerated Exciton Frameworkcitations
- 2014Mechanically triggered heterolytic unzipping of a low-ceiling-temperature polymercitations
- 2013Generating Efficient Quantum Chemistry Codes for Novel Architecturescitations
- 2011Dynamic Precision for Electron Repulsion Integral Evaluation on Graphical Processing Units (GPUs)citations
- 2009Quantum Chemistry on Graphical Processing Units. 2. Direct Self-Consistent-Field Implementationcitations
- 2008Quantum chemistry on graphical processing units. 1. Strategies for two-electron integral evaluationcitations
Places of action
Organizations | Location | People |
---|
article
Dynamic Precision for Electron Repulsion Integral Evaluation on Graphical Processing Units (GPUs)
Abstract
It has recently been demonstrated that novel streaming architectures found in consumer video gaming hardware such as graphical processing units (GPUs) are well-suited to a broad range of computations including electronic structure theory (quantum chemistry). Although recent GPUs have developed robust support for double precision arithmetic, they continue to provide 2-8× more hardware units for single precision. In order to maximize performance on GPU architectures, we present a technique of dynamically selecting double or single precision evaluation for electron repulsion integrals (ERIs) in Hartree-Fock and density functional self-consistent field (SCF) calculations. We show that precision error can be effectively controlled by evaluating only the largest integrals in double precision. By dynamically scaling the precision cutoff over the course of the SCF procedure, we arrive at a scheme that minimizes the number of double precision integral evaluations for any desired accuracy. This dynamic precision scheme is shown to be effective for an array of molecules ranging in size from 20 to nearly 2000 atoms.