NVIDIA: CUDA accelera il software TMPGEnc 4.0 fino al 446%

NVIDIA ha annunciato i risultati conseguiti in virtù di una stretta collaborazione con Pegasys, l'azienda che sviluppa il ben noto software di codifica video TMPGEnc 4.0 XPress. Ebbene Pegasys, facendo usa della infrastruttura fornitale da NVIDIA mediante la tecnologia CUDA (che il chip-maker definisce sinteticamente come "un ambiente di sviluppo basato su un linguaggio C-like" capace di accedere alle funzionalità hardware delle proprie gpu, ndr), ha messo a punto una release in beta status di TMPGEnc 4.0 XPress capace di vantare prestazioni delle fasi di decodifica ed elaborazione video fino al 446% in abbinamento a gpu di classe GeForce.

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NVISION 2008—SAN JOSE, CA—AUGUST 25, 2008—Today, at the NVISION 2008 conference, NVIDIA Corporation in conjunction with Pegasys Inc., makers of TMPGEnc 4.0 XPress multi-format video encoding software, showcased a technology demonstration to optimize video processing with the massively parallel architecture of the GPU.

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.”

NVIDIA first released CUDA in 2007, providing software developers with a programming environment based on the industry-standard C-language for the easy creation of applications running on NVIDIA GPUs. Numerous commercial and scientific applications have adopted CUDA technology and now consumer applications are emerging that show considerable performance improvements using the technology. Some of the first consumer applications to market are video encoding and decoding programs, which market analysts and consumer technology advocates consider prime candidates for GPU acceleration.

NVIDIA has shipped more than 80 million CUDA-enabled GPUs into the market, creating the largest installed base of general-purpose, parallel-computing processors ever produced and the latest generation of NVIDIA GeForce GPUs offer up to 240 processor cores. Processes that can be divided into multiple elements and run in parallel can be programmed to take advantage of the massive processing potential of the GPU.

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.

For product details visit the Pegasys web site at www.pegasys-inc.com

About NVIDIA
NVIDIA is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA serves the entertainment and consumer market with its GeForce graphics products, the professional design and visualization market with its Quadro graphics products, and the high-performance computing market with its Tesla computing solutions products. NVIDIA is headquartered in Santa Clara, Calif. and has offices throughout Asia, Europe, and the Americas. NVIDIA's inaugural NVISION 08 conference will be held August 25-27, 2008 in San Jose, California. For more information, visit www.nvidia.com and www.nvision2008.com.

Certain statements in this press release including, but not limited to, statements as to: the benefits, uses, performance and capabilities of NVIDIA CUDA technology and the GPU-enabled beta version of TMPGEnc 4.0 XPress software; expanded use of CUDA in the TMPGEnc software; further collaboration between NVIDIA and Pegasys; and emerging consumer applications are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: development of more efficient or faster technology; adoption of the CPU for parallel processing; software defects; the impact of technological development and competition; changes in consumer preferences and demands; customer adoption of different standards or our competitor's products; changes in industry standards and interfaces as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission including its Form 10-Q for the fiscal period ended July 27, 2008. Copies of reports filed with the SEC are posted on our website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

¹Using a GeForce GTX 260 compared to an Intel Core2 Quad Q9450 CPU on internal test suites.

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