TILED Matrix Multiplication Using Shared Memory in CUDA

Tiled Matrix Multiplication in CUDA

 Today, I am going to discuss Matrix Multiplication in CUDA. In CUDA, number of memories are present. As we have already discussed about the same in previous post "What is CUDA". Matrix Multiplication is very basic but a crucial algorithm in the field of Engineering & Computer Science. I assumed that one who is reading this post knows how to perform Matrix Multiplication in at least one programming language. (C, C++, Python, etc).

Two Dimensional (2D) Image Convolution in CUDA by Shared & Constant Memory: An Optimized way

          After learning the concept of two dimension (2D) Convolution and its implementation in C language; the next step is to learn to optimize it. As Convolution is one of the most Compute Intensive task in Image Processing, it is always better to save time required for it. So, today I am going to share a technique to optimize the Convolution process by using CUDA. Here we will use Shared Memory and Constant Memory resources available in CUDA to get fastest implementation of Convolution.