NVIDIA called in the big guns to help promote its Tesla graphics processing units (GPUs), announcing new efforts this week with Microsoft to explore applications for high performance parallel computing using Windows HPC Server 2008. In that vein, NVIDIA Research developed several GPU-enabled applications on the Windows HPC Server 2008 platform, including a ray tracing application that can be tapped to do advanced photo-realistic modeling of automobiles. NVIDIA also collaborated with Microsoft’s research arm to install a large Tesla GPU computing cluster with the intention of studying new applications optimized for the GPU. NVIDIA’s Tesla GPUs support Windows XP and Windows Vista on the workstation, and Windows Server 2003 and Windows Server 2008 in the data center. A number of large workstation OEMs, including Cray, Dell, Hewlett-Packard and Lenovo offer personal workstation platforms built on the Tesla C1060 and S1070 GPUs. Andy Keane, general manager of NVIDIA’s Tesla business, maintains that scientific and engineering communities leveraging the GPU platform are achieving performance boosts of between 20 to 200 times, depending on their application.
According to a study by the National Institute of Standards and Technology, one of the factors in the collapse of the original World Trade Center towers on Sept. 11, 2001, was the reduction in the yield strength of the steel reinforcement as a result of the high temperatures of the fire and the loss of thermal insulation.
Robots are getting more agile and automation systems are becoming more complex. Yet the most impressive development in robotics and automation is increased intelligence. Machines in automation are increasingly able to analyze huge amounts of data. They are often able to see, speak, even imitate patterns of human thinking. Researchers at European Automation
call this deep learning.
The promise of the Internet of Things (IoT) is that devices, gadgets, and appliances we use every day will be able to communicate with one another. This potential is not limited to household items or smartphones, but also things we find in our yard and garden, as evidenced by a recent challenge from the element14 design community.
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