---
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.