Abstract
We present a shared-memory parallelization of our open-source, local correlation multi-reference framework, TigerCI. Benchmarks of the total parallel speedup show a reasonable scaling for typical modern computing system setups. The efficient use of available computing resources will extend simulations on this high level of theory into a new size regime. We demonstrate our framework using local-correlation multireference computations of alkyl-substituted dioxirane and solvated methyl nitrene as examples.
Original language | English (US) |
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Pages (from-to) | 3175-3188 |
Number of pages | 14 |
Journal | Computer Physics Communications |
Volume | 185 |
Issue number | 12 |
DOIs | |
State | Published - Dec 1 2014 |
All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- General Physics and Astronomy
Keywords
- Dioxirane
- Local correlation
- Multi reference
- Multi-reference configuration interaction
- Parallelization
- Shared memory