Stuttgart Center for Simulation Science (SC SimTech)

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20,311 to 20,320 of 20,843 Results

Poster_status seminar_SH.pdf Mar 29, 2022 - Case Study Database for: Documenting Research Software in Engineering Science Adobe PDF - 843.8 KB - MD5: 33cd526a14e4b046590e7a1d9d035e60 Poster presentation at the Simtech status seminar to receive feedback from other researchers about the findings.
CMakeLists.txt Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework Plain Text - 972 B - MD5: 89d034fd42bfae55efb982b2b2d160aa
common.hpp Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework text/x-c++hdr - 2.6 KB - MD5: db93ce2ceabc8a330d76f725cdf87888
Interpolation.hpp Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework text/x-c++hdr - 19.0 KB - MD5: 64f4d6089fd14f40227e40bf7073d3a3
Iterators.hpp Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework text/x-c++hdr - 7.8 KB - MD5: ca8a754a049caa5781c37abfd7b1a6df
main.cpp Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework C++ Source - 6.0 KB - MD5: 46fb63bc934d827a5a71394d9606eb59
performance.cpp Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework C++ Source - 3.5 KB - MD5: 5a9837e46ed7cd2ad5471099ac5f9cba
performance_data.tab Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework Tabular Data - 1.8 KB - 4 Variables, 79 Observations - UNF:6:aIyuHfDcWPT9LJvtkCge9w== Data generated by running test/performance.cpp (but here in tab-separated instead of csv format). The columns, as can be seen in test/performance.cpp, are: Dimension of the grid, bound for the level sum, number of points in the grid, median runtime in seconds.
README.md Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework Markdown Text - 4.0 KB - MD5: ace814f78122f4b9ea5acee506e35eab
surf_plot.py Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework Python Source Code - 741 B - MD5: ce3397b4a8120d7983455f2873d10644

Poster_status seminar_SH.pdf

Mar 29, 2022 - Case Study Database for: Documenting Research Software in Engineering Science

Adobe PDF - 843.8 KB -

Poster presentation at the Simtech status seminar to receive feedback from other researchers about the findings.

CMakeLists.txt

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

Plain Text - 972 B -

common.hpp

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

text/x-c++hdr - 2.6 KB -

Interpolation.hpp

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

text/x-c++hdr - 19.0 KB -

Iterators.hpp

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

text/x-c++hdr - 7.8 KB -

main.cpp

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

C++ Source - 6.0 KB -

performance.cpp

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

C++ Source - 3.5 KB -

performance_data.tab

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

Tabular Data - 1.8 KB - 4 Variables, 79 Observations -

Data generated by running test/performance.cpp (but here in tab-separated instead of csv format). The columns, as can be seen in test/performance.cpp, are: Dimension of the grid, bound for the level sum, number of points in the grid, median runtime in seconds.

README.md

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

Markdown Text - 4.0 KB -

surf_plot.py

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

Python Source Code - 741 B -

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