Data provided by National Institute of Standards and Technology
Open source software for solving large-scale generalized eigenvalue problems on distributed computers. Suitable for large (80,000 by 80,000 or greater) dense matrices. Written in Fortran90+. Includes a test program and sample output. In particular, this distribution, MPI_GEVP_Package.tar.gz, consists of documentation (HowTo_MPI_GEVP_inviter.pdf), a collection of output files, and the software distribution itself. To use the software, download MPI_GEVP_package.tar.gz, unwrap it, and follow the instructions in the HowTo to compile the solver and another program for generating test matrix elements. Then run various tests and compare the results with the output found in the various Output files.
About this Dataset
Updated: 2025-04-06
Metadata Last Updated:
2020-09-04 00:00:00
Date Created:
N/A
Data Provided by:
Dataset Owner:
N/A
| Title | Software for solving large-scale generalized eigenvalue problems on distributed computers. |
|---|---|
| Description | Open source software for solving large-scale generalized eigenvalue problems on distributed computers. Suitable for large (80,000 by 80,000 or greater) dense matrices. Written in Fortran90+. Includes a test program and sample output. In particular, this distribution, MPI_GEVP_Package.tar.gz, consists of documentation (HowTo_MPI_GEVP_inviter.pdf), a collection of output files, and the software distribution itself. To use the software, download MPI_GEVP_package.tar.gz, unwrap it, and follow the instructions in the HowTo to compile the solver and another program for generating test matrix elements. Then run various tests and compare the results with the output found in the various Output files. |
| Modified | 2020-09-04 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | high performance computing visualization |
{
"identifier": "ark:\/88434\/mds2-2293",
"accessLevel": "public",
"contactPoint": {
"hasEmail": "mailto:[email protected]",
"fn": "James S. Sims"
},
"programCode": [
"006:045"
],
"landingPage": "https:\/\/data.nist.gov\/od\/id\/mds2-2293",
"title": "Software for solving large-scale generalized eigenvalue problems on distributed computers.",
"description": "Open source software for solving large-scale generalized eigenvalue problems on distributed computers. Suitable for large (80,000 by 80,000 or greater) dense matrices. Written in Fortran90+. Includes a test program and sample output. In particular, this distribution, MPI_GEVP_Package.tar.gz, consists of documentation (HowTo_MPI_GEVP_inviter.pdf), a collection of output files, and the software distribution itself. To use the software, download MPI_GEVP_package.tar.gz, unwrap it, and follow the instructions in the HowTo to compile the solver and another program for generating test matrix elements. Then run various tests and compare the results with the output found in the various Output files.",
"language": [
"en"
],
"distribution": [
{
"downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-2293\/MPI_GEVP_Package.tar.gz.sha256",
"mediaType": "text\/plain",
"title": "SHA256 File for A FORTRAN 90+ program for solving the generalized eigenvalue problem on distributed computers"
},
{
"accessURL": "https:\/\/doi.org\/10.18434\/mds2-2293",
"title": "DOI Access for Software for solving large-scale generalized eigenvalue problems on distributed computers."
},
{
"downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-2293\/MPI_GEVP_Package.tar.gz",
"format": "tar.gz",
"description": "An open-source program, written in quadruple precision Fortran90+, for solving the generalized eigenvalue problem on distributed computers which is suitable for large (80,000 by 80,000 or greater) dense matrices. A test program and sample output is provided as well.",
"mediaType": "application\/gzip",
"title": "A FORTRAN 90+ program for solving the generalized eigenvalue problem on distributed computers"
}
],
"bureauCode": [
"006:55"
],
"modified": "2020-09-04 00:00:00",
"publisher": {
"@type": "org:Organization",
"name": "National Institute of Standards and Technology"
},
"theme": [
"Physics:Atomic, molecular, and quantum",
"Mathematics and Statistics:Numerical methods and software"
],
"keyword": [
"high performance computing visualization"
]
}
