ChASE: Chebyshev Accelerated Subspace iteration Eigensolver for sequences of Hermitian eigenvalue problems

J Winkelmann, P Springer, ED Napoli - ACM Transactions on …, 2019 - dl.acm.org
Solving dense Hermitian eigenproblems arranged in a sequence with direct solvers fails to
take advantage of those spectral properties that are pertinent to the entire sequence and not …

Physics-informed reduced-order learning from the first principles for simulation of quantum nanostructures

M Veresko, MC Cheng - Scientific Reports, 2023 - nature.com
Multi-dimensional direct numerical simulation (DNS) of the Schrödinger equation is needed
for design and analysis of quantum nanostructures that offer numerous applications in …

Block iterative eigensolvers for sequences of correlated eigenvalue problems

E Di Napoli, M Berljafa - Computer Physics Communications, 2013 - Elsevier
Abstract In Density Functional Theory simulations based on the LAPW method, each self-
consistent field cycle comprises dozens of large dense generalized eigenproblems. In …

Computing petaflops over terabytes of data: The case of genome-wide association studies

D Fabregat-Traver, P Bientinesi - ACM Transactions on Mathematical …, 2014 - dl.acm.org
In many scientific and engineering applications, one has to solve not one but multiple
instances of the same problem. Often times, these problems are linked in a way that allows …

An optimized and scalable eigensolver for sequences of eigenvalue problems

M Berljafa, D Wortmann… - … and Computation: Practice …, 2015 - Wiley Online Library
In many scientific applications, the solution of nonlinear differential equations are obtained
through the setup and solution of a number of successive eigenproblems. These …

Advancing the distributed Multi-GPU ChASE library through algorithm optimization and NCCL library

X Wu, E Di Napoli - Proceedings of the SC'23 Workshops of The …, 2023 - dl.acm.org
As supercomputers become larger with powerful Graphics Processing Unit (GPU), traditional
direct eigensolvers struggle to keep up with the hardware evolution and scale efficiently due …

Parallel finite element density functional computations exploiting grid refinement and subspace recycling

TD Young, E Romero, JE Roman - Computer Physics Communications, 2013 - Elsevier
In this communication computational methods that facilitate finite element analysis of density
functional computations are developed. They are:(i) h–adaptive grid refinement techniques …

[PDF][PDF] Extending the precision and efficiency of the all-electron full-potential linearized augmented plane-wave density-functional theory method

G Michalicek - 2015 - d-nb.info
Density functional theory (DFT) is the most widely-used first-principles theory for analyzing,
describing and predicting the properties of solids based on the fundamental laws of …

More robust Chebyshev filtering for SCF iteration, with applications in real-space DFT

A Breuer, XC Wang - Journal of Computational Physics, 2018 - Elsevier
Chebyshev filtered subspace iteration (CheFSI) is a popular and powerful solver for the
eigenvalue problems embedded in electronic structure calculations. Effective use of ChFSI …

A parallel and scalable iterative solver for sequences of dense eigenproblems arising in FLAPW

M Berljafa, E Di Napoli - … , PPAM 2013, Warsaw, Poland, September 8-11 …, 2014 - Springer
In one of the most important methods in Density Functional Theory–the Full-Potential
Linearized Augmented Plane Wave (FLAPW) method–dense generalized eigenproblems …