| --- |
| license: other |
| license_name: suitesparse-collection |
| pretty_name: Dr.Sparse RL level4 pool |
| --- |
| # Dr.Sparse RL rollout pool, level4_huge members |
| |
| The SpGEMM online-RL rollout pool is 130 SuiteSparse matrices: the 118 level1-3 |
| matrices in the Dr.Sparse git repo (`level_sparse/level{1_small,2_medium,3_large}`) |
| plus the 12 level4 matrices in this dataset. It is disjoint from the 100-matrix |
| OTF test set. |
| |
| The 12 level4 (>= 1.1M rows) matrices, in |
| [Dr.Sparse](https://github.com/NKU-Yang/Dr.Sparse), in the repo's raw `.bin` |
| layout (`[int32 rows, cols, nnz][int32 row_ptr][int32 col_ind][float32 values][float32 x]`, |
| read by `level_sparse/data_loader.h`). The level1-3 members (118 matrices) ship |
| in the git repo; the 100-matrix OTF test set is `KinGeorge/Dr.Sparse-OTF-test-set`. |
| |
| Stage into a checkout with: |
| |
| ```bash |
| python level_sparse/stage_rl_pool.py --download # -> level_sparse/level4_huge/ |
| ``` |
| |
| `level4_list.txt` is the member list; `spgemm_excluded.txt` records the ten |
| level4 matrices that were dropped because cuSPARSE cannot produce an SpGEMM |
| baseline for them on one GPU. Values are the real matrix values (float32); |
| `x` is a fixed standard-normal vector baked in at build time. |
| |
