ZiyueHuang commented on issue #8611: optimization for dot(csr.T, dense) = rsp URL: https://github.com/apache/incubator-mxnet/pull/8611#issuecomment-345533714 Added benchmark for `n=2` case, Before, ``` python dot.py --num-omp-threads 16 ======================================================== mxnet sparse dot benchmark: dot(csr, default) = default (matrix multiplication: (m x k)^T * (k x n) = m x n) ======================================================== lhs_density(%) rhs_density(%) context m k n t_sparse(ms) t_dense(ms) speedup 1.0 100.0 cpu(0) 256 1000000 2 41.61 36.01 0.87 ``` After, ``` python dot.py --num-omp-threads 16 ======================================================== mxnet sparse dot benchmark: dot(csr, default) = default (matrix multiplication: (m x k)^T * (k x n) = m x n) ======================================================== lhs_density(%) rhs_density(%) context m k n t_sparse(ms) t_dense(ms) speedup 1.0 100.0 cpu(0) 256 1000000 2 14.44 32.46 2.25 ```
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