| Thurs., Feb. 17, 2011, Issue #48 - Newsletter Home |
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| Modeling the Real World in Real Time |
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This week’s spotlight is on Andre R. Brodtkorb. Andre is a scientist at SINTEF, a research organization in Norway, where he works on GPU acceleration and algorithm design. He also teaches GPU-related courses at the Norwegian School of Information Technology. His research interests include GPU/heterogeneous computing, simulation of partial differential equations (PDEs) and real-time visualization.
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- Read full interview in the NVIDIA blog: http://blogs.nvidia.com - See Andre's GTC 2010 presentation: http://nvidia.fullviewmedia.com/gtc2010/0921-n-2102.html - Watch YouTube video: http://www.youtube.com/watch?v=FbZBR-FjRwY - For more info: http://babrodtk.at.ifi.uio.no/ (Would you like to be featured in the CUDA Spotlight? Email us at cuda_week_in_review@nvidia.com) |
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| GTC 2011 — Save the Date! | back to the top | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| GTC 2011 will take place October 11-14 in San Jose, California — bringing together scientists, researchers, engineers and developers for a week of innovation, learning and networking. Los Alamos National Laboratory’s Accelerated High Performance Computing (HPC) Symposium will be co-located with GTC 2011. - For more info, see: www.gputechconf.com New Book: GPU Computing Gems The first volume in a new series of books on parallel computing is now available. Edited by Professor Wen-mei Hwu of the University of Illinois and developed by Morgan Kaufmann in collaboration with NVIDIA, GPU Computing Gems offers practical techniques and real-world examples. - For more info, see: http://mkp.com/gpu-computing-gems (Use code CUDA1 for 20% off through February 2011) CUDA at the Academy Awards All five movies nominated for an Oscar in the Visual Effects category were created by studios using NVIDIA Quadro professional graphics solutions. The nominees are Inception (studio: DNeg), Iron Man 2 (studios: DNeg and ILM), Harry Potter and the Deathly Hallows: Part 1 (studio: DNeg), Hereafter (studio: Scanline VFX) and Alice in Wonderland (studio: Sony Pictures Imageworks/SPI). The winner will be announced at the 83rd annual Academy Award ceremony on February 27, 2011. - See the list: http://oscar.go.com/#category_visual-effects Meet the Thalesians The Thalesians are a think tank of professionals with an interest in finance, mathematics, computer science and synergetics. The group is named after Greek philosopher Thales of Miletus, a mathematician who is known as an early user of financial options. Originally based in London, the Thalesians are now expanding to New York. CUDA developers and enthusiasts are invited to attend the inaugural talk in New York by Dr. Gerald Hanweck, Jr., CEO of Hanweck Associates, on Wed., February 23. The topic is "Monte Carlo Methods in CUDA." - Learn more about the Thalesians: http://www.thalesians.com/finance/index.php/Main_Page - Join group and register for event: http://www.meetup.com/thalesians/calendar/16139760/ |
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| NEW: Each week we highlight sessions from GTC 2010 and SC10. Here are our picks for this week, both by Jon Cohen, a member of the NVIDIA Research team: | back to the top | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Solving PDEs on Regular Grids with OpenCurrent (GTC 2010) Jon Cohen - NVIDIA (pdf) http://www.nvidia.com/content/GTC-2010/pdfs/2022_GTC_2010.pdf GPU Computing for Computational Science (SC10) Jon Cohen - NVIDIA (pdf) http://www.nvidia.com/content/PDF/sc_2010/theater/Cohen_SC10.pdf |
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| NVIDIA is seeking product managers, technical marketing managers, product marketers and CUDA developers for the Tesla GPU computing business, which develops high-performance computing solutions to help scientists and engineers solve problems they could not solve before. The massively-parallel CUDA architecture has seen one of the fastest processor architecture adoptions in computing history. Coupling the power of CUDA with Project Denver, the upcoming CPU product line, NVIDIA is fundamentally transforming the computer. Location: Santa Clara, California. - See: http://careers.nvidia.com (search on "CUDA") |
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| CUDA GPU Computing Forum | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| – Link to forum: http://forums.nvidia.com/index.php?showforum=62 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| CUDA GPUs | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| – List of CUDA-enabled GPUs: www.nvidia.com/object/cuda_gpus.html | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| CUDA Libraries Performance Report | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| – Download: http://bit.ly/ehR5az | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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) – Download Parallel Nsight: www.nvidia.com/object/parallel-nsight.html – Get developer guides and docs: http://developer.nvidia.com/object/gpucomputing.html |
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| CUDA on the Web | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| – See 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 – Check out the NVIDIA Research page: www.nvidia.com/research |
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| CUDA Recommended Reading | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| – Kudos for CUDA: www.hpcwire.com/features/Kudos-for-CUDA-97889444.html – Supercomputing for the Masses, Part 20: http://is.gd/f9o6o – CUDA books: http://www.nvidia.com/object/cuda_books.html |
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| CUDA Recommended Viewing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| – Third Pillar of Science: www.nvidia.com/object/race-for-better-science.html | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| – GTC 2010 presentations: www.nvidia.com/gtc | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| – SC10 presentations: www.nvidia.com/object/sc10_theater.html | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. Send comments and suggestions to: cuda_week_in_review@nvidia.com |
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Click here to opt in specifically to CUDA: Week in Review. |
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Copyright © 2011 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050. |
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