Wednesday, March 11, 2015

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480 processing cores CUDA Programmability and 8 GB of dedicated graphics memory give rise to a supercomputer for advanced visualization of images ranstad self service in fields such as design, geosciences and scientific research
SIGGRAPH 2008-LOS ANGELES, CA-August 12, 2008. 3D models and data volumes used in the projects have gained complexity than normal workstations can no longer handle. ranstad self service To resolve this problem, NVIDIA Corporation, the world leader in visual computing technologies, today announced visualization systems (VCS) Quadro Plex D Series, available in desktop or rack configuration. Designed to provide the highest performance ever achieved by Quadro graphics, the Quadro Plex systems are perfect for display applications in fields such as design, geosciences and scientific research, as they are capable of handling ranstad self service 3D models, datasets and panel systems very large. The new Quadro ranstad self service Plex series provides performance improvements of up to 100% compared to previous versions. It also offers a massively parallel ranstad self service processing using multiple ranstad self service Quadro graphics cards used for display, projection and image reproduction on a large scale, and high computational capacity by processor NVIDIA CUDA parallel computing.
The Quadro Plex D2 system is displayed in the edition of SIGGRAPH 2008 in Los Angeles (NVIDIA Booth 554) through various technological processes shows ray tracing (ray tracing) in real time, large scale CAD modeling and forecasting images on giant screens 4K high definition.
The Quadro Plex 2200 D2 system has two Quadro GPU, 4-link DVI Dual Link and 8 GB of video memory ranstad self service is designed for visualization scale with large volumes of data and computationally intensive processes. The other member ranstad self service of the family, the Quadro Plex 2100 D4, consists of four GPU, 8 channels Dual Link DVI and 4 GB of video memory for multi-display applications.
A Quadro Plex VCS Series D can convert any workstation or server on a supercomputer display. It easily connects to the station via a PC Express adapter card low power to provide the ability to mass processing of multiple Quadro cards in an ultra-quiet design that allows installation near the desk. Can also be mounted in a standard 19-inch rack (3U has a size) to achieve maximum density calculation for display.
The new Quadro Plex 2200 D2 VCS is formed by four Quadro FX 5800 which provide a total of 480 processing cores and 8GB of graphics memory. Management capacity of energy and heat from the chassis offer a 20% performance improvement over normal external graphics, making it the most powerful on the market display system. The Quadro Plex 2200 D2 features four Quadro FX 4700 GPU that can connect to a total of four displays via its dual-link DVI outputs and a total of eight screens with the projection functions in high resolution.
Explains Jeff Brown, head of professional solutions at NVIDIA, "It's the first time a desktop supercomputer is created in the same Quadro high capacity solution that focuses visualization and computation. Now, professionals can enjoy multiple industries Quadro performance system that best fits your needs, from the unrivaled power of Quadro Plex VCS, to our Quadro FX mobile ranstad self service ".
Processor NVIDIA CUDA parallel computing architecture CUDA parallel computing processor is available through a programming environment in C language consists of different tools and combined with a visualization system for high performance. With her new capabilities to solve highly complex visualization challenges such as ray tracing in real time (ray tracing), video encoding and interactive volume rendering open.
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 huge visual impact on workstations, personal computers, game consoles and mobile devices sector. NVIDIA serves many sectors of m

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