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Mar 6, 2026
Di Napoli, Edoardo, 2023, "Replication Data for: Advancing the ChASE library through algorithm optimization and multi-level MPI parallelism", https://doi.org/10.26165/JUELICH-DATA/OFQWGZ, Jülich DATA, V2
This dataset includes a set of matrices generated by Condensed Matter simulation software which were used to test the ChASE library in the manuscript bearing the same title as the dataset, and submitted to SC23 conference. Each Hermitian matrix is stored in double precision as a... |
Mar 6, 2026 -
Replication Data for: Advancing the ChASE library through algorithm optimization and multi-level MPI parallelism
Plain Text - 726 B - SHA-256: 65aeddc0a32cb4af5582585e1410193f6325fec7648945e8bcfbe4991052a5b0
Checksums for each matrix in the dataset |
Mar 6, 2026
Di Napoli, Edoardo; Wu, Xinzhe, 2026, "Matrix Hub", https://doi.org/10.26165/JUELICH-DATA/BKJOES, Jülich DATA, V1
Incremental dataset that includes algebraic matrices generated by a number of applications from Materials Science. The matrices are stored in a publicly accessible server. They can be easily accessed through a web interface 'MatrixHub' hosted on Github. The matrices can also be a... |
Mar 6, 2026 -
Matrix Hub
Plain Text - 34.6 KB - SHA-256: cb8908b33445a73e7fe58ecdd522111d1837555630487007a90cfb2d69eba8c2
Checksums for each single matrix in the database |

