| GPU Technology Conference - Sept 20-23 | |
 This year's GPU Technology Conference (GTC 2010) will take place on Monday, Sept. 20 to Thursday, Sept. 23 at the San Jose Convention Center in San Jose, California.
Building on last year's inaugural conference, GTC 2010 will feature an even broader and deeper selection of technical sessions, interactive tutorials, technology previews, and industry and academic presentations. Find out more The GPU Technology Conference (GTC), Sept. 20-23, is accepting proposals for GPU-related sessions on topics ranging from astronomy to energy exploration to video processing. The deadline is June 1. For more information:
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| Interview with Jen-Hsun Huang, NVIDIA CEO |
| In a "behind the scenes" interview at a recent technology conference, CEO Jen-Hsun Huang speaks about NVIDIA's focus areas, including parallel computing, and the importance of a culture that encourages innovation. Watch the video here. |
| Chief Scientist Bill Dally Awarded Prize for Computer Architecture |
| Leading computing organizations honored NVIDIA chief scientist Bill Dally with the Eckert-Mauchly Award, a prestigious prize for computer architecture. The Association for Computing Machinery and IEEE Computer Society called Dally a visionary for advancing the state of computing using parallel processors. Read the Channel Web article here. |
| CUDA and Silverlight |
| Microsoft Silverlight is a development platform for creating interactive user experiences for web, desktop and mobile applications. It's now possible to invoke CUDA directly from Silverlight. This will enable Silverlight games and applications to take advantage of a CUDA-based PC. More info » |
| Speeding Up GIS (Geographic Information Systems) |
| GIS experts around the world have been monitoring the huge oil spill in the Gulf of Mexico. GIS technology helps specialists interpret oil slicks in order to assist in response, planning and damage assessment. Incogna GIS of Ontario, Canada has developed an application called "GIS Image Analysis On-Demand," which uses GPU-based image analysis techniques for computationally-intensive tasks such as surface classification. These techniques leverage CUDA to process three days worth of data in less than one hour. The core technology behind Incogna GIS is ICRE (Image Content Recognition Engine), a cloud-computing, GPU-based computer vision system. More info » |
| New on CUDA Zone: Gravity Modeling with CUDA |
| Extract: "For models exceeding 10,000 cells we achieve an acceleration of a factor of 40 for scalar data and 30 for tensor data compared to a single thread on the CPU. This significant acceleration allows fast computation of large models exceeding 106 model parameters and thousands of measurement sites." Authors: M. Moorkamp and M. Jegen of IFM-GEOMAR, Kiel, Germany; A. Roberts and R. Hobbs of University of Durham, U.K. More info » Note: IFM-GEOMAR focuses on the marine sciences, from sea floor geology to marine meteorology. Research is conducted worldwide in all oceans. The institute has four major divisions: ocean circulation and climate dynamics, marine bio-geochemistry, marine ecology and the dynamics of the ocean floor. In addition, the institute operates research vessels including a manned submersible and deep-sea robots. |
| New on CUDA Zone: Fast Human Detection with Cascaded Ensembles |
| (Master's thesis submission, Dept. of Electrical Engineering and Computer Science, MIT) Extract: "This thesis addresses the problem of object detection from images, in particular the detection of people. As digital cameras become more widespread, the volume of available data to digital camera owners reaches such a point that digital content management presents itself as a problem. In our work, we use the NVIDIA CUDA framework. CUDA is the computing platform that enables developers to code parallel algorithms through industry standard languages. The CUDA programming model acts as a platform for massively parallel high performance computing by providing a direct, general-purpose C language interface ('C for CUDA') to the programmable multiprocessors on the GPUs. When implemented on this platform, we observed a significant speed up in our cascade detector's performance." Authored by Berkin Bilgic, MIT student. More info » |
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