CUDA Simply Explained - GPU vs CPU Parallel Computing for Beginners

In this tutorial, we will talk about CUDA and how it helps us accelerate the speed of our programs. Additionally, we will discuss the difference between processors (CPUs) and graphic cards (GPUs) and how come we can use both to process code. By the end of this video - we will install CUDA and perform a quick speed test comparing the speed of our GPU with the speed of our CPU. We will create 2 extremely large data structures with PyTorch and we will multiply one by the other to test the performance. Specifically, I’ll be comparing Nvidia’s GeForce RTX 3090 GPU with Intel’s i9-12900K 12th-Gen Alder Lake Processor (with DDR5 memory). I’ll be posting some more advanced benchmarks in the next few tutorials, as the code I’m demonstrating in this video is 100% beginner-friendly! ⏲️ Time Stamps ⏲️ ***************************************** 00:00 - what is CUDA? 00:47 - how processors (CPU) operate? 01:42 - CPU multitasking 03:16 - how graphic cards (GPU) operate? 04:02 - how come GPUs can run code faster than CPUs? 0