Friday, March 5, 2010, Issue #11 - Newsletter Home   WELCOME Welcome to this week’s issue of "CUDA: Week in Review." Questions or suggestions? Email us at cuda_week_in_review@nvidia.com CUDA NEWS World Cup Fans: Rejoice! Those of you who are soccer/football fans know the 2010 FIFA World Cup starts in June in South Africa. But did you know that CUDA will be playing a role? Mirics, an NVIDIA partner, is teaming up with Hong Kong-based USmart to develop multi-standard broadcast television platforms so fans can watch World Cup TV on mobile devices in Europe, Asia, and South America. Mirics FlexiTV leverages CUDA GPUs for TV signal processing and transcoding on notebook PCs. The TV signals are sent over the Internet to cell phones and media players via Mirics FlexiStream. See TMCnet article: http://sports.tmcnet.com/world-cup/articles/77584-usmart-mirics-partner-bring-live-world-cup-soccer.htm Next-Generation Water and Lighting in Just Cause 2 Square Enix London Studios revealed that the PC release of the game Just Cause 2 will feature GPU-accelerated water and lighting. Developer Avalanche Studios tapped CUDA to make the game’s environments more beautiful and immersive. CUDA-enhanced features include rivers, lakes, and oceans rendered with realistic waves and ripples. The game is also optimized for 3D Vision. More info: http://www.prnewswire.com/news-releases/just-cause-2-adds-support-for-latest-nvidia-technologies-85999182.html. Watch video: http://kotaku.com/5484795/just-cause-2-pc-loves-on-nvidia Yellow Dog Enterprise Linux for CUDA Fixstars Corp of Tokyo released Yellow Dog Enterprise Linux (YDEL) for CUDA, the first commercial Linux distribution for GPU computing. Michael Feldman of HPCwire writes: "General-purpose GPU computing is now positioned to be the most widely used accelerator technology for high performance computing." See: http://www.hpcwire.com/features/Fixstars-Launches-Linux-for-CUDA-86044987.html CUDA ZONE New on CUDA Zone: DNA Sequencing with CUDA Extract: "Emerging DNA sequencing technologies open up exciting new opportunities for genome sequencing by generating data with a massive throughput. In this paper we present a scalable parallel algorithm. It is based on spectral alignment and uses the CUDA programming model. Our computational experiments show runtime savings between 10 and 19 times.” Authors: Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang Müller-Wittig; School of Computer Engineering, Nanyang Technological University, Singapore. See: http://is.gd/9Icom Submit Your Work Have a CUDA-related paper or research? Show it on CUDA Zone: http://is.gd/8G3E4 CUDA JOBS Life Technologies Life Technologies, a global biotech company in California, has an opening in the genetic systems division for a person with HPC/GPGPU/CUDA experience. The position is in a multi-disciplinary program concentrating on single molecule DNA sequencing. See posting here: http://is.gd/9EZ9Y. See more CUDA and GPU computing-related job postings here: http://is.gd/91IEu CUDA Education GPU Computing Webinars (CUDA C and OpenCL) - Open to the Public Current schedule: http://developer.nvidia.com/object/gpu_computing_online.html Acceleware-Certified CUDA Training Silicon Valley, March 24-25: http://www.acceleware.com/index.cfm/cuda-training/mar24sunnyvale/ Calgary, April 12-16: http://www.acceleware.com/index.cfm/cuda-training/apr12calgary/ Call for Papers Symposium on Chemical Computations on GPGPUs. Abstracts due 4/5/10. See: http://illinois.edu/lb/article/2101/33709 CUDA and GPU Computing Courses Over 305 universities are teaching CUDA and GPU Computing courses. See the list: http://www.nvidia.com/object/cuda_courses_and_map.html CUDA RESOURCES New! CUDA Video on YouTube: http://www.youtube.com/watch?v=ZOGLkl9cFPw CUDA Toolkit: http://developer.nvidia.com/object/cuda_2_3_downloads.html Developer Guides: http://developer.nvidia.com/object/gpucomputing.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 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. 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 You are receiving this email because you have previously expressed interest in NVIDIA products and technologies. Click here to opt in specifically to CUDA: Week in Review. Feel free to forward this email to customers, partners and colleagues. 2701 San Tomas Expressway, Santa Clara, CA 95050 Copyright © 2010 NVIDIA Corporation. All rights reserved.