GPUkärnor

GPUkärnor, often referred to as CUDA cores or stream processors depending on the manufacturer, are the fundamental processing units within a Graphics Processing Unit (GPU). Unlike the few, powerful cores in a central processing unit (CPU), GPUs are designed with thousands of simpler, highly parallel cores. This architecture is optimized for performing the same operation on many different pieces of data simultaneously, a task crucial for rendering graphics.

Each GPUkärna is capable of executing a single thread of instructions. When rendering a frame, a GPU can assign thousands of these cores to work on different pixels or parts of a scene concurrently. This massive parallelism allows GPUs to handle the complex calculations required for 3D graphics, video encoding, and other computationally intensive tasks far more efficiently than a CPU.

The exact number and capabilities of GPUkärnor vary significantly between different GPU models and manufacturers, such as NVIDIA and AMD. Higher core counts generally translate to greater processing power, though architectural improvements and clock speeds also play a vital role in overall performance. Beyond graphics, the parallel processing capabilities of GPUkärnor have made them indispensable for scientific simulations, machine learning, and cryptocurrency mining.