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GPU technology is transforming a range of commercial industries—from finance and consumer-product development to aircraft design and entertainment—by improving the efficiency of processes and enabling the development of new products and services that were not previously possible.
The GPU allows manufacturers to replace physical modeling with simulations. This can dramatically speed time to market and reduce costs. It enables designers to easily experiment with materials and design to find the most cost-effective and ecologically responsible ways to solve problems.
The industries highlighted below are just a few examples of where the GPU has had deep impact.
GPUs are also accelerating the computations that lead to the development of new drugs and personal care products. For instance, in initiatives that can help discover more environmentally sound detergents, researchers are investigating the cleaning properties of different surfactant molecules by running simulations powered by NVIDIA Tesla GPUs.
Watch the video here: http://www.youtube.com/embed/0DhHUMrtmPc
Discovering a new drug is a complex and laborious task. Biochemists have to try millions of compounds before they can figure out which ones are effective against a particular virus or bacteria or which cause a desired reaction in the human body. To speed this process, researchers turn to computer simulations, which historically have required supercomputers, which are, unfortunately, in short supply. Today NVIDIA GPUs can accelerate life sciences applications by an order of magnitude allowing researchers to conduct work on desktop computers with supercomputing capabilities. In spring of 2010, AMBER 11, one of the most widely used applications for biochemists and others involved in molecular dynamics research, launched a version optimized for GPUs. AMBER 11 lets bioscientists harness the power of a supercomputer on their desktop PC, speeding up this software tool by up to a 100-fold over that on a traditional CPU-based server.
-- Dr. Ross Walker, research professor at the San Diego Supercomputer Center, at the University of California, San Diego, and a principle AMBER contributor
In the case of video processing, GPUs are being used in a number of image-enhancement applications that reveal previously hidden data in satellite images. Video surveillance is another area in which GPUs are helping to improve security and defense. Thanks to the power of parallel processing, it is now possible to use real-time stabilization and enhancement techniques to clean up video feeds. Whether these feeds come from drones on the battlefield or security cameras on the streets, critical information from video surveillance is captured in time to take action.
On the ground in local municipalities, our GPUs are helping state and local governments quickly and cost-effectively unlock the practical value of data from sophisticated geographic information systems (GIS) software, which analyzes satellite imagery by applying complex image processing filters. By speeding up these compute-intensive calculations, GPUs help local authorities in everything from disaster planning and prevention to improving 911 response times.