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1. #FASTEST VIDEO CONVERTER GPU HOW TO#
2. #FASTEST VIDEO CONVERTER GPU MOVIE#
3. #FASTEST VIDEO CONVERTER GPU MP4#
4. #FASTEST VIDEO CONVERTER GPU UPDATE#
5. #FASTEST VIDEO CONVERTER GPU SOFTWARE#

Here is the table summarizing the key points of CUDA and DXVA technologies: SEE ALSO: Convert HD video free CUDA & DXVA compared The best results may be achieved if you convert a high resolution video to a smaller resolution one.

#FASTEST VIDEO CONVERTER GPU HOW TO#

It means that DXVA starts working on your PC when you wonder how to use Free DVD Ripper tool or convert AVI/MKV/MP4 with H.264 video codec. Please note that Freemake Video Converter supports DXVA only for H.264 and MPEG2 decoding. In case you have an NVIDIA GeForce chip, you can benefit both from CUDA and DXVA while converting videos.

So chances that your graphics card supports DXVA are rather high. A big plus is that the list of supported video cards includes ATI Radeon HD, NVIDIA GeForce, and some Intel cards. This technology is majorly used by video converters, DVD copiers, and video players. DXVA is more picky than CUDA: it works only for video decoding and only for the files with input H.264, MPEG2, and VC-1 codecs.

#FASTEST VIDEO CONVERTER GPU MP4#

SEE ALSO: Convert MP4 to AVI in an Easy Way What is DXVA?ĭirectX Video Acceleration, or DXVA, is Microsoft’s technology for the Windows Vista, 7, 8, and later OS’s, which allows video decoding to be GPU accelerated.

#FASTEST VIDEO CONVERTER GPU UPDATE#

So it’s advisable to update the video card driver if your card supports CUDA. Don’t forget that CUDA works only with NVIDIA graphics cards, starting with GeForce 8 series and later. It means that you can convert video times faster with Freemake Video Converter, if you choose AVI, MP4, MKV, Apple, Android, Sony as output formats. video encoding tools can speed up only conversion to H.264 codec.

#FASTEST VIDEO CONVERTER GPU SOFTWARE#

However, not all software functionality can be GPU assisted, e.g. Thus, the complex computing tasks are partially assigned to GPU resources via a special API provided by Nvidia. The usage of CUDA allows developers to take advantage of the massive parallel computing power of an Nvidia graphics card in order to do general purpose computation. The CUDA technology is implemented in software engineering via programming languages such as C, C++, and Fortran. What is CUDA?ĬUDA, or Compute Unified Device Architecture, is NVIDIA’s technology which ensures dramatic increases in software performance by using the GPU power. CUDA works in some video games, 3D apps, web browsers, TV out tools, and video apps.

So the leading video cards manufacturers put forward their own GPU-based technologies: CUDA by NVIDIA, DXVA by Microsoft, ATI Stream by AMD. However, it’s not that easy to unlock the potential of video cards. 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.

#FASTEST VIDEO CONVERTER GPU MOVIE#

Many users of Freemake Movie Converter heard of CUDA and DXVA technologies integrated into the software to speed up video conversion.