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WELCOME
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Welcome to this week’s issue of “CUDA: Week in Review,” a weekly newsletter for the worldwide CUDA and GPU Computing community. Contact us at: cuda_week_in_review@nvidia.com. Follow us on Twitter: www.twitter.com/gpucomputing.
Reminder: 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. Learn more: www.nvidia.com/gtc and http://www.nvidia.com/object/call_for_submissions.html |
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CUDA NEWS
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Interview with Jen-Hsun Huang, NVIDIA CEO
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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: http://blogs.nvidia.com/ntersect/2010/05/behind-the-scenes-with-jenhsun-huang-at-the-fire-conference.html
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Chief Scientist Bill Dally Awarded Prize for Computer Architecture
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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: http://www.crn.com/hardware/224701748
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CUDA APPS
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Run CUDA Applications from Silverlight
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Microsoft Silverlight is a development platform for creating interactive user experiences for the web, desktop, and mobile applications. It’s now possible to invoke a CUDA application directly from Silverlight. This enables Silverlight games and applications to take advantage of a CUDA-based PC. (To dive further into this topic, see: www.planetmarshall.co.uk/2010/01/silverlight-and-cuda-interop/).
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CUDA ZONE
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New on CUDA Zone: Gravity Modeling with CUDA
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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. See: http://is.gd/c8e15
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.
CUDA Zone Submissions: Have a CUDA-related paper, research, or app? Show it on CUDA Zone: http://is.gd/8G3E4 |
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CUDA JOB OF THE WEEK
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The Georg-August-University in Gottingen, Germany is seeking a motivated PhD student – preferably with a computer vision background. The candidate should be interested in an interdisciplinary project involving computer vision analysis of changing scenes and the objects therein. Using this research, the intent is to build a system for plant treatment. Specifically, the project will be centered on the problem of recognizing and tracking parts of growing plants. Good programming skills (C++, CUDA) are required. A lively, stimulating and well-equipped scientific environment is provided.
- For information, contact Prof. Florentin Worgotter at: worgott@bccn-goettingen.de
- Learn about the organization: http://www.bccn-goettingen.de/AboutBCCN
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CUDA EDUCATION
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University Courses
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NEW: “Programmable GPUs for General Purpose Parallel Computing” (undergrad level), Shiraz University, Iran (Prof. Reza Azimi). See: http://www.cse.shirazu.ac.ir/~azimi/gpu89
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CUDA Training
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NEW: CUDA training from SagivTech, Ra’anana, Israel
- CUDA course: July 12-14
- GPU/Image Processing course: Aug. 2-4
See: http://www.sagivtech.com/24054.html
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GPU Computing Webinars (CUDA C, OpenCL, Parallel Nsight and more…)
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OSee May webinar schedule: http://developer.nvidia.com/object/gpu_computing_online.html
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CUDA and Academia
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Over 350 universities are teaching CUDA and GPU Computing courses.
- See the list: http://www.nvidia.com/object/cuda_courses_and_map.html
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CUDA CALENDAR
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– Global Derivatives Trading & Risk Management
– ISC ´10 GPU Computing Workshops
– European Association of Geoscientists & Engineers (EAGE) Conference
– Parallel Execution of Sequential Programs on Multi-Core Architectures
– GPGPU Briefing for Financial Services (Microsoft/NVIDIA)
– GPUs in Chemistry and Materials Science
– Parallel Symbolic Computation 2010 (PASCO)
– Symposium on Chemical Computations on GPGPUs
– Unconventional High Performance Computing 2010 (UCHPC 2010)
– GPU Technology Conference 2010
(To list an event, email: cuda_week_in_review@nvidia.com) |
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CUDA RESOURCES
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CULA LAPACK
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GPU-accelerated linear algebra library from EM Photonics: http://www.culatools.com
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NVIDIA Parallel Nsight
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Download the Parallel Nsight Beta: www.nvidia.com/nsight
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CUDA Toolkit
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Download CUDA Toolkit 3.0: http://bit.ly/aKCENp
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CUDA Documentation
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Download developer guides and documentation: http://developer.nvidia.com/object/gpucomputing.html
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CUDA Books
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– Programming Massively Parallel Processors by D. Kirk, W. Hwu: http://is.gd/7bNYP
– See additional books here: http://www.nvidia.com/object/cuda_books.html
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CUDA ON THE WEB
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– Follow CUDA & GPU Computing on Twitter: www.twitter.com/gpucomputing
– Network with other developers: www.gpucomputing.net
– Stayed tuned to GPGPU news and events: www.gpgpu.org
– Learn more about CUDA on CUDA Zone: www.nvidia.com/cuda
– CUDA on YouTube: http://www.youtube.com/nvidiacuda
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About CUDA
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CUDA is NVIDIA’s parallel computing hardware architecture. NVIDIA provides a complete toolkit for programming on the CUDA architecture, supporting standard computing languages such as C, C++, and Fortran as well as APIs such as OpenCL and DirectCompute.
See previous issues of CUDA: Week in Review: http://www.nvidia.com/object/cuda_week_in_review_newsletter.html
Send comments and suggestions to: cuda_week_in_review@nvidia.com |
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