CUDA Data Parallelism: GPU Speed Boost

Your computer is slow because it paints a wall with a single toothbrush. That is the bottleneck

of a standard CPU trying to process data one piece at a time. Data parallelism

is the cheat code that fixes this. Instead of a loop processing one pixel after another,

you use CUDA to wake up the GPU. You write a function called a Kernel and launch a grid

of thousands of threads. Suddenly, every single pixel gets its own personal

worker. You move the data to the device, hit execute, and they all work

at the exact same instant. That is how you turn hours of crunching numbers into milliseconds.