A Study on Determinantal Quantum Monte Carlo: Preliminaries
Abstract
Preliminary performance evaluations PPEĀ assessments are important in the development of useful guidance for proper software development decisions on different computational platforms. In order to provide useful guidance for correct software design choice, preliminary performance evaluationsĀ (PPE) on various computational platforms is necessary.In the present article, we analyse the performance of quantitative kernels of the determinant quantum Monte Carlo (DQMC) of two common computer processors: multi-core CPU and GPU. They demonstrate how these approaches can be used for a number of models, including Hubbard Hamiltonians, standard Anderson, Kondo lattice and problems with impurities as well as hardcore bosons and the Heisenberg model.