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Pegasys video encoding software uses NVIDIA CUDA for 446% boost

Posted on Monday, August 25 2008 @ 21:05:01 CEST by

NVIDIA proudly announced Pegasys is using the CUDA technology to dramatically increase the performance of the TMPGEnc 4.0 XPress multi-format video encoding software.

The press release claims the GPU-enabled beta version of TMPGEnc 4.0 Xpress is up to 446% faster than the standard edition but they don't share any specifics about the test system or test method.
Using NVIDIA CUDA technology (a C-language programming environment for the GPU), Pegasys is taking advantage of the parallel processing capabilities of an NVIDIA GeForce GPU to create a GPU-enabled beta version of TMPGEnc 4.0 XPress software. The software is used to dramatically increase video decode and processing speed by as much as 446% on a GeForce GPU.1

“Leveraging NVIDIA CUDA technology to accelerate our application on the GPU has dramatically improved the filtering speed of the TMPGEnc 4.0 XPress software,” said Tak EBINE, CEO, Pegasys Inc. “CUDA technology has helped us deliver this result in a relatively short development time because it is intuitive to C programmers.”

TMPGEnc 4.0 XPress software converts and compresses (encodes) all types of video files that can be played on the PC, including MPEG, AVI, WMV, DivX, FLV, as well as DVD video..Pegasys’ unique Video Mastering Engine’s interface has gained a reputation for being user-friendly, enabling easy editing and conversion of video sources.

“Pegasys’ video transcoder software has earned top ratings in Japan and overseas for its quality and ease of use,” says Patrick Beaulieu, product marketing manager, Photo/Video Technologies, NVIDIA. “The inclusion of CUDA technology into this video processing software illustrates its broad applicability and particular value in consumer, life-style applications. We’re looking forward to further collaboration and delivering the final version of the software to market.”
The two companies plan to continue development of the software, expanding the use of CUDA within the TMPGEnc software to include acceleration of more functions and additional video formats.



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