January 13, 2023
Journal Article

Massively parallel quantum chemical density matrix renormalization group method

Abstract

We present, to the best of our knowlegde, the rst attempt to exploit the supercomputer platform for quantum chemical density matrix renormalization group (QCDMRG) calculations. We have developed the parallel scheme based on the in-house MPI global memory library, which combines operator and symmetry sector parallelisms, and tested its performance on three dierent molecules, all typical candidates for QC-DMRG calculations. In case of the largest calculation, which is the nitrogenase FeMo cofactor cluster with the active space comprising 113 electrons in 76 orbitals and bond dimension equal to 6000, our parallel approach scales up to approximately 2000 CPU cores.

Published: January 13, 2023

Citation

Brabec J., J. Brandejs, K. Kowalski, S.S. Xantheas, O.T. Legeza, and L. Veis. 2021. Massively parallel quantum chemical density matrix renormalization group method. Journal of Computational Chemistry 42, no. 8:534-544. PNNL-SA-156140. doi:10.1002/jcc.26476