CUDA: Week in Review
Friday, December 18, 2009, Issue #2 - Newsletter Home
Welcome to the second issue of "CUDA: Week in Review." Questions or suggestions? Email us at
CUDA Superhero Challenge #2 Winner
Congratulations to Psyho, winner of NVIDIA´s CUDA Superhero Challenge 2!
Read the interview here:
Fastra II: 12 Teraflops of Computing Power on a Desktop
The University of Antwerp researchers are back! Read the article in PC World and watch the new YouTube video here:
India´s NeST Opens Center for GPU Computing
NeST (Network Systems & Technologies Ltd.) opened a Center for GPU Computing to develop high–performance computing solutions for its worldwide customers, including training on the CUDA architecture. For more info, see:
Kaspersky Goes Parallel
Kaspersky Lab, developer of secure content management solutions, incorporates parallel computing technologies into its infrastructure and achieves a 360–fold speed increase. Nikolay Grebennikov, CTO, says: "We could not ignore the advantages of modern GPUs. Learn more at:
National Taiwan University Looks at Early Evolution
Researchers at National Taiwan University (NTU) are achieving breakthrough results while studying the early evolution of the universe. Learn more at:
Shopachu for Visual Browsing
Now there’s a web site that can help shoppers who like to browse visually. Incogna´s online shopping site, called “Shopachu,” uses visual search to make it easier to find what you are looking for. Behind its simple interface are complex computer–vision algorithms that leverage the CUDA architecture. Read more here:
CUDA Education
Cranfield University, UK, Offers CUDA Course
New course offered by Cranfield University: Intro to programming techniques for general purpose software applications for the GPU. For more info, see:
CUDA and GPU Computing Courses
Over 270 universities are teaching CUDA and GPU Computing courses. See the list here:
New on CUDA Zone: Early Detection of Cardiac Irregularities using CUDA C
In the biomedical area, many previous studies focused on using neural networks for pattern recognition of biomedical signals. However, the long training times make it difficult to use them for the fast detection of ventricular arrhythmias which may cause cardiac arrest and sudden death. Authored by Lopes, Ribeiro. Read more at:
Share Your Paper on CUDA Zone
Have a CUDA–related paper or research? Show it on CUDA Zone. Here is the submission form: Click here:
CUDA Toolkit 3.0 Beta Now Available
Download it here:
Follow CUDA & GPU Computing on Twitter:
Network with other developers at:
Learn more about CUDA from CUDA Zone:
The next issue of "CUDA: Week in Review" will be on January 8, 2010.
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