| Tuesday, Sept. 28, 2010, Issue #37 - Newsletter Home |
| WELCOME | ||||||||||||||||||||||||||
| Welcome to "CUDA: Week in Review," an online news summary for the worldwide CUDA and GPU Computing community. Previous issues: http://is.gd/cBXbg. Twitter: www.twitter.com/gpucomputing. | ||||||||||||||||||||||||||
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| GPU TECHNOLOGY CONFERENCE | ||||||||||||||||||||||||||
| Thank you to everyone who participated in the GPU Tech Conference (GTC). Attendees came from all corners of the world for a wonderful three days of intense learning and collaboration. We are already looking forward to planning GTC 2011! Stay tuned for the session webcasts, which will be posted soon. Here are links to the keynote presentations, daily highlights and research posters: | ||||||||||||||||||||||||||
| GTC 2010 Keynotes | ||||||||||||||||||||||||||
| Day 1 - Keynote by Jen-Hsun Huang, NVIDIA Day 2 - Keynote by Klaus Schulten, University of Illinois Day 3 - Keynote by Sebastian Thrun, Google, Stanford | ||||||||||||||||||||||||||
| GTC 2010 Daily Wrap-Ups | ||||||||||||||||||||||||||
| Day 1 - Wrap-Up by Ujesh Desai, NVIDIA Day 2 - Wrap-Up by Rob Csongor, NVIDIA Day 3 - Wrap-Up by Dan Vivoli, NVIDIA | ||||||||||||||||||||||||||
| GTC 2010 Posters | ||||||||||||||||||||||||||
| See list here | ||||||||||||||||||||||||||
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| CUDA NEWS RECAP FROM GTC | ||||||||||||||||||||||||||
| Here's a partial summary of last week's announcements, from new GPU computing hardware solutions to software and applications. For more details, see the NVIDIA blog. | ||||||||||||||||||||||||||
| CUDA C/C++ Cross Platform News | ||||||||||||||||||||||||||
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| Platform Support News | ||||||||||||||||||||||||||
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| Partner News | ||||||||||||||||||||||||||
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| Emerging Companies News | ||||||||||||||||||||||||||
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| Ecosystem News | ||||||||||||||||||||||||||
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| CUDA JOB OF THE WEEK | ||||||||||||||||||||||||||
| Join the GPU revolution! NVIDIA is looking for CUDA developers and product marketers. Apply online at http://careers.nvidia.com/pljb/nvidia/nvidiaemployment/applicant/index.jsp or email hr@nvidia.com. | ||||||||||||||||||||||||||
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| CUDA CALENDAR | ||||||||||||||||||||||||||
– MATLAB Conference 2010
– Palo Open Conference: Business Intelligence Acceleration with GPUs
– NEW: Wolfram Technology Conference
– NEW: MATLAB for Finance and Insurance
– NEW: Microsoft Technical Computing across Client, Cluster and Cloud (TC3)
– NEW: Cray/ HLRS GPU HPC Workshop
– Supercomputing 2010
– Training from CAPS
– NEW: SIGGRAPH Asia
– NEW: Scientific Computing in the Americas: The Challenge of Massive Parallelism
– IEEE International Parallel & Distributed Processing Symposium
Ongoing
(To list an event, email: cuda_week_in_review@nvidia.com) |
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| CUDA and Academia | ||||||||||||||||||||||||||
| Over 360 universities are teaching CUDA and GPU Computing courses around the world. Academic programs from NVIDIA include: – CUDA Center of Excellence – CUDA Research Center – CUDA Teaching Center – Academic Partnership – Learn more at http://research.nvidia.com/ |
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| CUDA DOWNLOADS | ||||||||||||||||||||||||||
| – Download CUDA Toolkit 3.2: http://bit.ly/aKCENp – Download OpenCL v1.1 pre-release drivers and SDK code samples (Log in or apply for an account) |
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| CUDA RESOURCES | ||||||||||||||||||||||||||
| CUDA Documentation | ||||||||||||||||||||||||||
| – Developer guides and docs: http://developer.nvidia.com/object/gpucomputing.html | ||||||||||||||||||||||||||
| CUDA Articles in Dr. Dobb's | ||||||||||||||||||||||||||
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– Supercomputing for the Masses, Part 20: http://is.gd/f9o6o – Supercomputing for the Masses, Part 19: http://is.gd/dTIXj – Supercomputing for the Masses, Part 18: http://is.gd/cs6b9 |
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| CUDA ON THE WEB | ||||||||||||||||||||||||||
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– See list of CUDA-enabled GPUs: http://www.nvidia.com/object/cuda_gpus.html – Read previous issues of CUDA: Week in Review: http://is.gd/cBXbg – 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 – Read Kudos for CUDA: http://www.hpcwire.com/features/Kudos-for-CUDA-97889444.html |
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| 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. Send comments and suggestions to: cuda_week_in_review@nvidia.com | ||||||||||||||||||||||||||
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