GPU Acceleration Will Multiply Increase Your Video Transcoding Speed
Overview of GPU Acceleration and CUDA
Owning to parallel architecture, GPU hardware acceleration gives better video transcoding performance than general purpose CPU. While by far NVIDIA CUDA becomes the most eye-catching role on the GPU hardware acceleration stage. Through distributing CPU memory to GPU, consumers video decoding / encoding speed is gallopingly stirred up thanks to CUDA-enabled GPU's parallel computing architecture.
Now CUDA GPU Acceleration is on LotSoft!
LotSoft, worldly leading DVD Ripper & Video Converter solution contributor, now is available with CUDA Toolkit, which guarantees you with around 6x faster performance on CUDA-enabled graphics card machine. Following with below tips list, you will gradually discover it is Amazing Speed and Quality that what CUDA GPU Acceleration and BDlot bring you.
Comparison Between with/without GPU Acceleration
The proof of the pudding is in the eating. So we have managed below tests to show you the proof of how BDlot Software employs the power of CUDA GPU Hardware Acceleration. A silent revolution is taking place in your media converting world when LotSoft gives services to backup your DVDs or convert your videos.
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What is NVIDIA CUDA technology and why CUDA can accelerate Video Transcoding?
First thing first, with the looming of CUDA technology from NVIDIA laboratory, most of people simply believe CUDA accelerate everything while few of them dig deeper to find out what is authentic versatility of CUDA technology and concerning what real life is related, why NVIDIA CUDA can speed up our video transcoding?
Can I Speed up my Video Processing with CUDA? And how?
If someone asks "Can I speed up my video processing with CUDA", the answer usually goes positively, since the most important advantage of NVIDIA CUDA technology working on consumers' computer is to accelerate our video processing. And this article chiefly focuses on what will you benefit from CUDA and CUDA-enabled GPUs.
What is GPU Hardware Acceleration? And what will you benefit from it?
GPU hardware acceleration is one of two major hardware acceleration uses. While by far NVIDIA CUDA stands in the centre spotlight of GPU hardware acceleration stage. Through distributing CPU memory to GPU, consumers video decoding / encoding speed is gallopingly stirred up thanks to CUDA-enabled GPU's parallel computing architecture.
Amazing Hardware Acceleration - Tests on GPU & CPU Coding Differences?
Hardware Acceleration means using hardware to perform some function faster than is possible in software running on the general purpose CPU. And GPU Hardware Acceleration is most used in consumer computing area. For better understanding hardware acceleration working principle, this article tries to instruct you with the differences between GPU and CPU coding methods.
Co-working with 64 bit architecture, CUDA brings unparalleled Transcoding Experience.
CUDA technology is designed to unleash the power of GPU's processor cores (parallel architecture) for the most needed system tasks. And video transcoding is on the top list. Co-working with 64 bit architecture, CUDA brings you unparalleled GPU hardware acceleration - possibly 7x video transcoding performance over traditional CPUs.
