I\'m trying to implement a matrix-vector Multiplication on GPU (using CUDA). In my C++ code (CPU), I load the matrix as a dense matrix, and then I perform the matrix-vector multiplication using CUDA.
In the following program i am trying to draw a simple house. The coordinates are defined in the house array. I need to rotate the house and display both rotated as well as the original house.
I\'m trying to use the ublas part of Boost but I\'m not able to multiply matrices and assign the result to other matrices for some reason.
I am new to thread programing and I have a conceptual problem.I am doing matrix multiplication as a project for my class.However, I do it without using threads, and then using threads to compute the s
I code a small program using MPI to parallelize matrix-matrix multiplication. The problem is: When running the program on my computer, it takes about 10 seconds to complete, but about 75 seconds on a
I am trying to multiply two 3x3 matrices. The first 2 numbers in the first and second row are the only correct answer. What am I doing
After implementing matrix multiplication with CUDA. I tried to implement it with CUBLAS(thanks to the advice of some people here in the forum).
The setting is here. X: 6000x8000 non-sparse matrix B: 8000x1 sparse vect开发者_如何学运维or with only tens of non-zeros
The code I use for matrix multiplications in CUDA lets me multiply both square and non square matrices, how开发者_运维问答ever, both Width and Height MUST be multiples of blocksize.
A=imread(\'lena_color.jpg\'); x1=2.1; b=A*x1; b=double(b); x1=double(x1); opts.UT = true; opts.TRANSA = false;
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