CUDA: Week in Review
Friday, February 26, 2010, Issue #10 - Newsletter Home  
Welcome to this week’s issue of "CUDA: Week in Review." Questions or suggestions? Email us at
Did you know you can help medical research by running a piece of software on your computer? Stanford University’s Folding@home is an example of a “distributed computing project” focused on understanding how diseases work. Simply put, distributed computing means that different parts of a program are processing simultaneously on multiple, networked computers. People around the world have downloaded the Folding@home software to collectively help create the equivalent of a powerful supercomputer. Using this “volunteer power,” the researchers at Folding@home are able to more quickly simulate “protein folding” problems linked to diseases such as Alzheimer’s and Parkinson’s. Currently, over 400,000 CPUs and GPUs worldwide are contributing to Folding@home. Here’s an interesting fact: About 15% of the systems involved in Folding@home are GPU-based, yet GPUs contribute approximately 90% of the computing power.

– Watch this YouTube video to see an inspiring example of a Folding@home team:
– Read this excellent NPR blog entry titled "Folding A Protein From Your Easy Chair":

New on CUDA Zone: Radar Signal Processing with GPUs - Master’s Thesis
Extract: "Radar signal processing algorithms place strong real-time performance demands on computer architectures. These algorithms have an inherent data-parallelism that allows for great performance on massively parallel architectures, such as GPUs. Recently, using GPUs for other than graphics processing has become a possibility through the CUDA and OpenCL architectures. This master’s thesis aims at evaluating the NVIDIA GeForce GT200 series GPU-architecture for radar signal processing applications." Citation: Jimmy Pettersson, Ian Wainwright; HPC, Sweden. See
Submit Your Work
CUDA Zone just posted its 1000th submission! Have a CUDA-related paper or research? Show it on CUDA Zone:
CUDA JOBS (New feature!)
Siemens Corporate Research
Siemens Corporate Research in Princeton, New Jersey is seeking interns at the BS, MS, and PhD levels in the area of medical image analysis. See more CUDA and GPU computing-related job postings here:
CUDA Education
New Book Review by John West of insideHPC
John West of insideHPC reviewed "Programming Massively Parallel Processors," the new book by David Kirk and Wen-mei Hwu. West writes: "If you are new to parallel programming and have access to a Tesla GPU, this book is a fine place to start your education."

– Read the review:
– Buy the book: Elsevier or Amazon

GPU Computing Webinars (CUDA C and OpenCL) - Open to the Public
See current schedule:
Call for Papers
Symposium on Chemical Computations on GPGPUs. Abstracts due 4/5/10. See:
Call for Participation: "GPU Computing Gems"
Submissions are being accepted for "GPU Computing Gems." More info:
CUDA and GPU Computing Courses
Over 305 universities are teaching CUDA and GPU Computing courses. See the list:
CUDA Toolkit
Download here:
New Developer Guides
Download here:
– Follow CUDA & GPU Computing on Twitter:
– Network with other developers:
– Stayed tuned to GPGPU news and events:
– Learn more about CUDA on CUDA Zone:
See previous issues of CUDA: Week in Review:

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