Learn how you can easily provision cloud-based workstations and VDI infrastructure to provide designers, engineers and scientists the ability to create high fidelity models, designs and visualizations. Powered by NVIDIA's Tesla GPUs and NVIDIA GRID capabilities you can run hardware accelerated applications to design the next concept car or industrial parts or even creating the next Hollywood blockbuster. Hear about customer stories and learn about partner solutions that enable anyone to have a high end workstation in their back pocket!
Topics covered in this session include: Cloud based WS
Panelists: Rob Enderle (President and Principal, Enderle Group) Jeff Herbst (Vice President of Business Development, NVIDIA) Anders Ranum (Venture Partner, SAP Ventures) Savitha Srinivasan (Partner, IBMs Venture Capital Group)
Topics covered in this session include: Cloud Based Workstation Solution
Graphics processors are already used for computationally intensive video tasks in many ISR (Intelligence, Surveillance, Reconnaissance) applications; GPU-based system for video enhancement and analytics outperforms a similarly priced CPU-based system 5-to-1 at HD resolutions. Our initial tests on 64 megapixel Wide Area Aerial Surveillance (WAAS) data show at least 10x speedup with tasks such as super-resolution or moving target indication. In this talk, we'll discuss unique design and implementation challenges of real-time processing of very large video data sets. We will demonstrate our existing GPU-based software, IKENA ISR, and discuss its video-processing pipeline and innovative processing solutions that are promising to dramatically expand capabilities of emerging aerial surveillance platforms.
MotionDSP makes software that significantly improves video from a wide range of sources -- from mobile phones to surveillance cameras. Its patented, multi-frame video enhancement technology is available in Ikena, a video forensic solution, and in vReveal, a Windows application for consumers. High-fidelity motion estimation plays a critical role in almost any video processing technology. The open-loop nature of MotionDSP''s multi-frame video reconstruction framework requires a departure from quantized block-based motion estimation concept, commonly used in video encoding, as super-resolution temporal filtering can not rely on a prediction error to compensate for motion estimation inaccuracies. The need to use floating-point accurate motion fields, coupled with a multi-frame nature of the algorithm, makes GPGPU a natural choice when addressing this massive computational problem. This talk will provide an overview of MotionDSP''s video technology and products, as well as details of the design and performance challenges of MotionDSP''s multi-frame video pipeline, one of the first commercial video processing solutions fully ported to GPU architecture.