muvee Reveal version 8 Home Movie Making Software Is up to 8x Faster With CUDA-Enabled NVIDIA GeForce GPUs (PR)
NVIDIA Corp. and muvee, the pioneer and leader in home movie making software and services, today announced that consumers with NVIDIA(R) CUDA(TM)-enabled NVIDIA GeForce(R) and NVIDIA ION(TM) graphics processing units (GPUs) installed in their computers will get up to 8 times faster rendering of home movies created with the new muvee Reveal version 8 automatic video editing software.
In just three steps, consumers can create professional-looking home movies with muvee Reveal in minutes by uploading photos and video, selecting music, then choosing a style. With patented face and motion detection, muvee Reveal automatically selects the best scenes and syncs everything to the beat of the music. Users who have NVIDIA CUDA-enabled GPUs will see movies render up to 8 times faster and free up their CPUs to perform other tasks.
“Videos are already the preferred means of sharing memories today and we want to improve the user experience not just for the consumers of such videos, but also for the creator. With NVIDIA CUDA graphic cards, users can not only create great looking videos along with complex 3D transitions and effects, but can also render their masterpiece lightning fast due to the large numbers of processor cores, which is perfect for the massively parallel nature of what we do,” says Terence Swee, CEO, muvee.
For over eight years muvee has been creating automatic video editing software and services for consumers. muvee Reveal version 8 surpasses all previous programs in the muvee family with new enhanced features including optimization for the NVIDIA CUDA architecture.
“GPU computing is revolutionizing the consumer PC experience for photo and video applications,” said Michael Steele, general manager of visual consumer solutions at NVIDIA. “muvee Reveal is shockingly easy to use and can turn a disorganized pile of digital photos and videos in to a slick home video in only a few minutes by tapping into the computing power of the GPU with NVIDIA CUDA technology.”
The NVIDIA CUDA architecture enables the broadest array of GPU computing programming language support and API support, including Microsoft’s DirectCompute, OpenCL, CUDA C, CUDA Fortran, and others. With over 150 million CUDA-enabled GPUs in the market, NVIDIA continues to evolve the CUDA development environment with a growing set of tools, libraries and academic momentum.
In financial news,
NVIDIA Corp. (NASDAQ: NVDA) today announced that it will participate in the following financial conferences:
-- FBR Capital Markets - 2009 Technology Conference Tuesday, Dec. 1, at 5:30 a.m. Pacific Time (8:30 a.m. Eastern Time) Grand Hyatt Hotel, New York -- Credit Suisse - Annual Technology Conference Wednesday, Dec. 2 at 2:30 p.m. Mountain Standard Time (4:30 p.m. Eastern Time) The Pheonician, Scottsdale, Ariz. -- Barclays Capital - Global Technology Conference Tuesday, Dec. 8 at 1:30 p.m. Pacific Time (4:30 p.m. Eastern Time) Fairmont Hotel, San Francisco -- J. P. Morgan - Annual Technology Forum Thursday, Jan. 7, at 11:30 a.m. Pacific Time (2:30 p.m. Eastern Time) Bellagio Hotel, Las Vegas
Interested parties can listen to a live audio webcast of NVIDIA’s presentation at these events, available on the NVIDIA Investor Relations Web site at www.nvidia.com/investor. A replay of the webcast will be available for seven days after each event.