Part 1: What is graphics card processor (GPU) acceleration?
The GPU, acronym for Graphics Processing Unit, is a specialized electronic circuit that has been designed to quickly control and modify memory to speed up all processing-intensive operations on the computer. Among these are: analysis, engineering applications, etc. The GPU, also called the graphics card processor, is commonly used in on-board systems, cell phones, personal computers, etc. An on-board video card or motherboard is also a representation of the GPU on a personal PC..
When we talk about the software performance of an application, it is of course the GPU that we think of.
If you move sections of hungry applications from the computer to the GPU containing free sections that allow execution with the computer's central processor (CPU), then accelerating the GPU will also speed up the execution of programs on the computer. your machine..
There is another feature of GPU acceleration that supports all models of parallel programming. This allows application designers and developers to produce higher performance applications.
Is the GPU only useful for business users working in offices, productivity-conscious users using multiple displays, or video game players?
Well the answer is no. Those working on video editing or converting software can also do GPU acceleration on their computer..
GPU acceleration allows video editors to use all new NVIDA © CUDA ™, AMD® and Intel® Core ™ technology to produce video formats, including the h.264 encoder which will become 2/3 times faster than at its original speed.
Part 2: What kinds of graphics card processor (GPU) acceleration does FonePaw support?
When you do a search for GPU acceleration on Google, you will end up in front of millions of search results. In this kind of situation, it's really hard to know what would be the best GPU acceleration solution. Obviously, the most effective solutions are the best.
FonePaw, a video software vendor, supports GPU acceleration, including Intel Quick Sync Video, AMD OpenCL ™ Accelerated Parallel Processing, NVIDIA NVENC, and more.
Please also make sure that your computer has the required operating system for this:
| BONE | Supported version | Processor | Hard Disk Space | RAM |
| Windows | Windows 10/8/7 / Vista / XP | > 750MHz Intel or AMD CPU | 100 MB or more | 256 MB or more |
| Mac | Mac OS X 10.15, 10.14, 10.13, 10.12, 10.11, 10.10, 10.9, 10.8, 10.7. | > 1GHz Intel processor or higher | 100 MB or more | 512 MB or more |
Part 3: How to Accelerate Graphics Card (GPU) Processor with FonePaw Software?
To perform graphics card processor acceleration, apart from hardware support, you will need to obtain certain settings.
Follow the steps below to speed up your conversions.
For NVIDA © CUDA ™ and AMD® technologies:
1. Go to “Start”> “Search” and type “dxdiag”.
Click " Open " to go to the DirectX Diagnostic Tool window. In the "Display" tab, you will be able to check the type of graphics card in your computer and you will also be able to find more information about the drivers.
2. Make sure you have the latest driver for your graphics card. To check which version of the driver you have and to get the latest installer file available, click on the link below, on the one that matches your computer's graphics card.
For NVIDIA® CUDA ™ technology
For AMD® technology: For NVIDIA® CUDA ™ technology
3. To enable GPU acceleration feature in FonePaw software: click “Preferences” icon> “General”, then check the “Enable GPU acceleration” box.
For Intel Quick Sync Video technology:
If you are currently using an Intel graphics card, then the program will only be able to bind GPU encoding with Intel Quick Sync Video technology, which has been integrated as a second generation, superior to Intel Core processors. Here you can recommend downloading the latest driver for better GPU encoding performance. And if you are using first generation Intel Core processors, then you can always download the Multimedia SDK here.
Note that the steps for enabling GPU acceleration with Intel graphics cards are the same as those for NVIDIA® CUDA ™ and AMD® technologies mentioned above.
