0): # Check if size is a power of 2. self.A = self._pad_to_power_of_two(matrix_a) self.B = self._pad_to_power_of_two(matrix_b) # Perform Strassen's multiplication and remove padding if it was applied.
There are some details about this implementation: Three by three matrixes are used. Each matrix input is a two byte container, so the maximum value (in decimal) it can hold is 65,535.
One of the standout features of nvmath-python is its ability to fuse epilog operations with matrix multiplication. Epilogs are operations that can be integrated with mathematical computations such as ...
which utilizes a triple row activation scheme to efficiently handle sparse matrix-vector multiplication (SpMV). We found that reducing operations by sparsity relies heavily on how matrices are mapped ...