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81 to 90 of 1,066 Results
three-system-all-ranks.csv
Jun 28, 2024 - Replication Data for: Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies
Comma Separated Values - 22.8 KB - MD5: 9bd60c3868bc288b52de09643ffbe821
three-systems-input-generator.tar.gz
Jun 28, 2024 - Replication Data for: Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies
Gzip Archive - 41.8 MB - MD5: 2fddfd98858294f1b12aba2fe84cd52e
input
two-system-all-ranks.csv
Jun 28, 2024 - Replication Data for: Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies
Comma Separated Values - 33.6 KB - MD5: 8cda1c6e2694576667308521ce7e22d3
two-systems-input-generator.tar.gz
Jun 28, 2024 - Replication Data for: Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies
Gzip Archive - 11.7 MB - MD5: ee6f21e323415631fb9f94215af9930e
input
XXL-Day_20231006.xlsx
Jun 28, 2024 - Replication Data for: Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies
MS Excel Spreadsheet - 10.5 KB - MD5: bef7ef2a35b7929c8d3a707caf5b8105
Replication Data for: Stable and Mass-Conserving High-Dimensional Simulations with the Sparse Grid Combination Technique for Full HPC Systems and Beyond
Jun 19, 2024 - Scientific Computing
Pollinger, Theresa, 2024, "Replication Data for: Stable and Mass-Conserving High-Dimensional Simulations with the Sparse Grid Combination Technique for Full HPC Systems and Beyond", https://doi.org/10.18419/DARUS-3580, DaRUS, V1
These are input, processing, and output files for experiments that were performed exclusively for my dissertation "Stable and mass-conserving high-dimensional simulations with the sparse grid combination technique for full HPC systems and beyond". More structure can be seen when switching to "Tree" view. Other data repositories are referenced direc...
csv_from_folders.py
Jun 19, 2024 - Replication Data for: Stable and Mass-Conserving High-Dimensional Simulations with the Sparse Grid Combination Technique for Full HPC Systems and Beyond
Python Source Code - 2.6 KB - MD5: 0a123e51babb42cf3bab8c0907a41ea6
input
ctparam
Jun 19, 2024 - Replication Data for: Stable and Mass-Conserving High-Dimensional Simulations with the Sparse Grid Combination Technique for Full HPC Systems and Beyond
Plain Text - 210 B - MD5: 8184fe8924ae3678682525366e883b90
output
ctparam
Jun 19, 2024 - Replication Data for: Stable and Mass-Conserving High-Dimensional Simulations with the Sparse Grid Combination Technique for Full HPC Systems and Beyond
Plain Text - 379 B - MD5: c9836ed8ffbdac178e26a1e5bff3699f
input
ctparam
Jun 19, 2024 - Replication Data for: Stable and Mass-Conserving High-Dimensional Simulations with the Sparse Grid Combination Technique for Full HPC Systems and Beyond
Plain Text - 331 B - MD5: e50d8e288fe29d454d53652e1828c2bf
input
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