Sparse Matrix Multiplication Experiments

Compare the performance different sparse-dense matrix multiplication algorithms, with broadcasting across additional dimensions.

To figure out the best method to apply regrid weights in xESMF.

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
README.md		README.md
apply_ufunc_with_dask.ipynb		apply_ufunc_with_dask.ipynb
distributed_regridding.ipynb		distributed_regridding.ipynb
indices_memory_layout.ipynb		indices_memory_layout.ipynb
make_large_weights.ipynb		make_large_weights.ipynb
numba_on_dask.ipynb		numba_on_dask.ipynb
read-regrid-write-pipeline.ipynb		read-regrid-write-pipeline.ipynb
scatter_large_weights.ipynb		scatter_large_weights.ipynb
sparse_dot.py		sparse_dot.py
sparse_dot_benchmark.ipynb		sparse_dot_benchmark.ipynb
weights.nc		weights.nc

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