To offload the CPU, the power of video cards comes to the aid. Both processes require a lot of of processing power, so to complete a conversion as quickly as possible, it’s necessary to use 100% of the processor output. The process of video conversion falls into two stages – decoding (decompression of an original file) and encoding (a new compression). SEE ALSO: 10 Powerful Media Converters for Multiple Platforms Each format uses its own algorithm of video compression. If all still frames were displayed “as-is”, one-minute video would weigh several gigabytes. Roughly, a digital video consists of a series of still image frames, from 24 to 72 per second. Hardly anyone knows that modern video chips may contain up to 1000 cores which of course are not so powerful as CPU cores, but they ideally suit to cope with graphics processing. The general purpose of GPU was to relieve the Central Processing Unit (CPU) of graphics-related tasks to ensure efficient workload.Īs manufacturing capabilities improved, graphics cards could handle more calculation-intensive tasks. The term “GPU” was coined by NVIDIA upon the launch of GeForce video chips. GPUs appeared not long ago, they descended from 3D accelerators used to render 3D graphics. SEE ALSO: 10 Splendid Screen Capture Tools for Game Recording Technically speaking, video card has its own memory and GPU, or Graphics Processing Unit. Inside of each modern PC there is a graphics card, its quality often tells on the possibility to run video games and mighty graphics software.
SEE ALSO: How to Convert DVD to MP4 From CPU to GPU
This post is an attempt to explain NVIDIA CUDA and DXVA in plain English. However, not everyone knows how and when these technologies actually work and what real value they add.
Many users of Freemake Movie Converter heard of CUDA and DXVA technologies integrated into the software to speed up video conversion.
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