I am creating 2 programs to test the differences in run time of serial matrix multiply vs that of parallel matrix multiply. The parallel code that I have writte
I want to use matrix multiplication inside TF model. My model is a NN with input shape = (1,9). And I want to get a product of this vectors by themself (i.e. I
Suppose that, in my CUDA grid block, I have a Matrix, which I want to multiply by a vector. And that my data type is either half, single, or double precision (i
In the CUDA Programming guide, v11.7, section B.24.6. Element Types & Matrix Sizes, there's a table of supported type combinations, in which the multiplicat
I'm trying to implement the following operation using AVX: for (i=0; i<N; i++) { for(j=0; j<N; j++) { for (k=0; k<K; k++) { d[i][j] += 2 *
Is it possible to do from matrix_multiply_elementwise in sympy library with more than two matrices? Or any other way for multiplying couple of matrices elementw