| --- |
| license: apache-2.0 |
| language: |
| - en |
| tags: |
| - linear-systems |
| - sparse-matrices |
| - scientific-computing |
| - magnetic-diffusion |
| - benchmark |
| pretty_name: LinearSolveBench magnetic diffusion development data |
| size_categories: |
| - n<1K |
| --- |
| |
| # LinearSolveBench: magnetic diffusion development data |
|
|
| The 96 development cases for the `magnetic_diffusion_flash` family of [LinearSolveBench](https://www.autodidakt.ai/linear-solve-bench).\ |
| Benchmark code, family manifests, the reference solver, and evaluation rules live in the [code repository](https://github.com/hgarud/LinearSolveBench). |
|
|
| ## Dataset |
|
|
| These scalar magnetic-diffusion linear systems were captured from AlWire and two-dimensional driven ZPinch test-problems from FLASH 4.8.\ |
| These captures cover startup time steps and support independent linear solves, not complete |
| simulation trajectories.\ |
| See the [FLASH diffusion documentation](https://flash.rochester.edu/site/flashcode/user_support/flash_ug_devel/node128.html) |
| for the underlying formulation. |
|
|
| Matrices are real `float64` CSR, with 9,984–113,664 rows and |
| 108,364–1,245,184 nonzeros. |
|
|
| ## Files |
|
|
| - `cases/`: one ZIP archive per development case. |
| dimensions, and source-run provenance. |
| - `README.md` and `LICENSE`: dataset documentation and license. |
|
|
| Each `cases/flash-replay-NNNN.zip` contains exactly: |
|
|
| - `matrix.npz`: coefficient matrix `A` in SciPy CSR format. |
| - `b.npy`: captured right-hand side `b`. |
| - `x0.npy`: captured initial guess `x0`. |
| - `case.json`: tolerances, provenance identifiers, and file and numerical-array |
| checksums. |
|
|
