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Chaowen_G_
Beginner
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how to split matrix in cluster_sparse_solver, similar number of rows or similar number of nonzero elements

Hi:

   I need to use cluster_sparse_solver to solve a larger complex symmetric matrix. So I need to split matrix into two parts and put them into two different compute nodes respectively. The first part is from row 1 to row n, the second part is from row n to the last row. Since the selection of row n is arbitrary, which selection will give the best performance, tow compute nodes have similar number of rows or similar number of nonzero elements?

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Gennady_F_Intel
Moderator
47 Views

from performance point of view -- splitting by the equal parts of rows -- will produce the best performance.

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