Matrix multiplication is a fundamental operation in scientific computing and data processing. It is a computationally intensive task that can be significantly accelerated using Graphics Processing Units (GPUs) and the CUDA programming model developed by NVIDIA. In this article, we will explore the concept of matrix multiplication, provide a CUDA code example for matrix multiplication,…
Introduction Parallel computing has revolutionised how we tackle complex computational problems. Leveraging the capabilities of Graphics Processing Units (GPUs) through NVIDIA’s CUDA platform enables us to perform tasks at unprecedented speeds. In this article, we’ll explore the practical implementation of a crucial CUDA technique: parallel reduction. We’ll walk through the code for a parallel reduction…
CUDA (Compute Unified Device Architecture) is a parallel computing platform and API developed by NVIDIA for harnessing the power of Graphics Processing Units (GPUs) to accelerate general-purpose computation. In this tutorial, we will explore the basics of CUDA programming by creating a simple CUDA program for vector addition. We will cover key concepts such as…