Work

GPU-acceleration of the ELPA2 distributed eigensolver for dense symmetric and hermitian eigenproblems

Year: 2020

Type: article

Source: Computer Physics Communications

DOI: 10.1016/j.cpc.2020.107808

Authors: Victor Wen-zhe Yu, Jonathan Moussa, Pavel Kůs, Andreas Marek, Peter Messmer, Mina Yoon, Hermann Lederer, Volker Blum

Institutions: Duke University, Molecular Sciences Software Institute, Czech Academy of Sciences, Czech Academy of Sciences, Institute of Mathematics, Max Planck Computing and Data Facility, Oak Ridge National Laboratory, Center for Nanophase Materials Sciences

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, U.S. Department of Energy, Nvidia, National Energy Research Scientific Computing Center, Max-Planck-Gesellschaft, Office of Science, Basic Energy Sciences, Division of Materials Sciences and Engineering

Awards: G203625172, G42916606, S2I2: Impl: The Molecular Sciences Software Institute, Collaborative Research: SI2-SSI: ELSI-Infrastructure for Scalable Electronic Structure Theory

OpenAlex ID: W3007543653

FWCI: 4.184

Cites: 69

Cited by: 48

Related to: 10