Hi all,
I have a sparse 3.4M x 3.4M adjacency matrix with nnz = 23M and wanted
to see if CArray was an appropriate solution for storing it. Right now I
am using the NumPy binary format for storing the data in coordinate
format and loading the matrix with Scipy's sparse coo_matrix class. As
far
Hi Giovanni!
I think that you may have some misunderstanding about how chucking works,
which is leading you to get terrible performance. In fact what you
describe is a great strategy (right all and zip) for using normal Arrays.
However, chunking and CArrays don't work like this. If a chunk cont
