Replication Data for: Advancing the ChASE library through algorithm optimization and multi-level MPI parallelismdoi:10.26165/JUELICH-DATA/OFQWGZJülich DATA2023-04-212Di 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, V2Replication Data for: Advancing the ChASE library through algorithm optimization and multi-level MPI parallelismSC23 Artifact Description (AD) datasetdoi:10.26165/JUELICH-DATA/OFQWGZDi Napoli, EdoardoDi Napoli, EdoardoDi Napoli, EdoardoSchleife, AndreFLEURUIUC BSE codeslaiJülich DATADi Napoli, EdoardoWu, Xinzhe2023-04-21Di Napoli, Edoardo2023-04-18Mathematical SciencesPhysicsEigenproblemCondensed Matter PhysicsNumerical Linear AlgebraThis 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 separate binary file containing the whole matrix entries in column major order. This is the list of matrices and their sizes: NaCl 9k: n = 9273 -- AuAg 13k: n = 13379 -- TiO2 12k: n = 12455 -- TiO2 29k: n = 29528 -- In2O3 76k: n = 76887 -- In2O3 115k: n = 115459 -- HfO2 62k: n = 62681 -- HfO2 76k: n = 76674otherThe data is accessible at https://datapub.fz-juelich.de/sdlqm/Materials_Matrices_SC23/CC0 Waiver10.1145/3624062.3624249Xinzhe Wu, Edoardo Di Napoli. "Advancing the distributed Multi-GPU ChASE library through algorithm optimization and NCCL library." Proc. of the SC '23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis. Pages: 1688 - 1696SHA256SUMS.txtChecksums for each matrix in the datasettext/plain