CUDA: Week in Review
Friday, May 14, 2010, Issue #21 - Newsletter Home
WELCOME
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
CUDA NEWS
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: http://blogs.nvidia.com/ntersect/2010/05/behind-the-scenes-with-jenhsun-huang-at-the-fire-conference.html
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: http://www.crn.com/hardware/224701748
CUDA APPS
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. (To dive further into this topic, see: www.planetmarshall.co.uk/2010/01/silverlight-and-cuda-interop/).
CUDA ZONE
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. 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
CUDA JOB OF THE WEEK
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
CUDA EDUCATION
University Courses
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
CUDA Training
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
GPU Computing Webinars (CUDA C, OpenCL, Parallel Nsight and more…)
OSee May webinar schedule: http://developer.nvidia.com/object/gpu_computing_online.html
CUDA and Academia
Over 350 universities are teaching CUDA and GPU Computing courses.
- See the list: http://www.nvidia.com/object/cuda_courses_and_map.html
CUDA CALENDAR
– Global Derivatives Trading & Risk Management
May 17-21, Paris
http://www.icbi-events.com/globalderivatives/

– ISC ´10 GPU Computing Workshops
May 30, Hamburg, Germany
http://www.nvidia.com/object/isc2010.html

– European Association of Geoscientists & Engineers (EAGE) Conference
June 14-17, Barcelona
http://www.eage.org/events/index.php?eventid=297

– Parallel Execution of Sequential Programs on Multi-Core Architectures
June 20, France
http://cccp.eecs.umich.edu/pespma/cfp.html

– GPGPU Briefing for Financial Services (Microsoft/NVIDIA)
June 21, NYC
https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032451443&culture=en-US

– GPUs in Chemistry and Materials Science
June 28-30, Univ. of Pittsburgh
http://www.sam.pitt.edu/education/gpu2010.register.php

– Parallel Symbolic Computation 2010 (PASCO)
July 21-23, France
http://pasco2010.imag.fr/contest.html

– Symposium on Chemical Computations on GPGPUs
Aug. 22-26, Boston
http://illinois.edu/lb/article/2101/36281

– Unconventional High Performance Computing 2010 (UCHPC 2010)
Aug. 31-Sept. 1, Italy
http://www.lrr.in.tum.de/~weidendo/uchpc10/

– GPU Technology Conference 2010
Sept. 20-23, San Jose, Calif.
http://www.nvidia.com/gtc (now accepting proposals from industry and academia)

(To list an event, email: cuda_week_in_review@nvidia.com)

CUDA RESOURCES
CULA LAPACK
GPU-accelerated linear algebra library from EM Photonics: http://www.culatools.com
NVIDIA Parallel Nsight
Download the Parallel Nsight Beta: www.nvidia.com/nsight
CUDA Toolkit
Download CUDA Toolkit 3.0: http://bit.ly/aKCENp
CUDA Documentation
Download developer guides and documentation: http://developer.nvidia.com/object/gpucomputing.html
CUDA Books
– 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
CUDA ON THE WEB
– 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
About CUDA
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.

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