Friday, February 5, 2010, Issue #7 - 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 Call for Participation: “GPU Computing Gems” NVIDIA and Professor Wen-mei Hwu of the University of Illinois, Urbana-Champaign are accepting article submissions for "GPU Computing Gems," a contribution-based book that will focus on practical techniques for GPU computing. This is a continuation of the popular "GPU Gems" series. More info: http://www.nvidia.com/object/io_1265140268552.html National Science Foundation Grant for GPU Computing Northeastern University and Mass General Hospital were awarded a $1.3 million grant from the National Science Foundation to develop a software platform based on GPUs for biomedical imaging applications. The new software libraries will enable radiologists to more quickly assess tissue images, which will allow clinicians to perform image-guided biopsies earlier than can be done now… Professor Dave Kaeli, who leads Northeastern’s parallel software development team, comments: "The implications for a patient’s mental health as well as cost of care for patients are huge." Kaeli’s team is developing the software on GPU-based systems, with CUDA and OpenCL. See: http://is.gd/7JnO9 CUDA APPS Siemens Healthcare Uses CUDA for 3D Ultrasounds of Babies in Utero In the latest issue of VentureBeat, tech writer Dean Takahashi discusses a cool new application from Siemens Healthcare which was demoed this week at "CUDA Day" in San Francisco: "Siemens is using CUDA technology to create 3D ultrasounds of babies in utero and other medical applications… Physicians can see how a baby is doing in much better visual detail than a 2D ultrasound can deliver." See Dean’s video interview with Roee Lazebnik, director of product development for radiology and ob/gyn, Siemens Healthcare:  http://is.gd/7Jcsc CUDA ZONE New on CUDA Zone: Massively-Parallel Simulation of Biochemical Systems In this paper, a computational approach for massively parallel simulation of biological molecular networks was developed leveraging the computing power of modern graphics cards. The implementation on a GeForce GTX 280 was over 59 times faster than on a Xeon 2.66Ghz processor. Citation: J. Ackermann, P. Baecher, T. Franzel, M. Goesele, K. Hamacher; Technische Universitat Darmstadt. See it here: http://is.gd/7J9fD Submit Your Work Have a CUDA-related paper or research? Show it on CUDA Zone. Submission form: http://is.gd/6hxx2 CUDA Education Workshop at Stanford Molecular Dynamics Workshop Series, 3/01/10-3/02/10, at Stanford University. Intended for people interested in running MD simulations on GPUs and/or developing new MD algorithms that can be implemented and accelerated on GPUs. Registration is required and spaces are limited. For more info: http://simbios.stanford.edu/MDWorkshops.htm Call for Papers Many-Core/Reconfigurable Supercomputing Conference, Rome. Papers due: 2/12/10. See: http://www.mrsc2010.eu/ Dependable Multi-Core Computing Workshop, Caen, France. Papers due 2/15/10. See: http://is.gd/7JeNh/ CUDA and GPU Computing Courses Over 300 universities are teaching CUDA and GPU Computing courses. See the list: http://www.nvidia.com/object/cuda_university_courses.html Parallel Processing Textbook "Programming Massively Parallel Processors: A Hands-on Approach" is co-written by Dr. David B. Kirk, NVIDIA Fellow, and Professor Wen-mei Hwu of the University of Illinois, Urbana-Champaign. The book utilizes CUDA C as well as OpenCL.  For more info, go to Elsevier or Amazon. CUDA RESOURCES Upcoming  Webinars GPU Computing using CUDA C - An Introduction 2/08/10, 9 pm pacific: https://www2.gotomeeting.com/register/679725883 GPU Computing using CUDA C - Advanced 1 2/15/10, 9 pm pacific:  https://www2.gotomeeting.com/register/262218050 GPU Computing using CUDA C - Advanced 2 2/22/10, 9 pm pacific:  https://www2.gotomeeting.com/register/981346954 GPU Computing and OpenCL - An Introduction 3/19/10, 10 am pacific: https://www2.gotomeeting.com/register/355834867 GPU Computing and OpenCL - Advanced 1 3/26/10, 10 am pacific: https://www2.gotomeeting.com/register/521523739 GPU Development Environment Update NVIDIA’s new GPU development environment, codenamed Nexus, has been officially christened "NVIDIA Parallel Nsight."  Register at http://developer.nvidia.com/nsight for access to the Beta program. CUDA Toolkit Download the CUDA Toolkit 3.0 Beta here: http://www.nvidia.com/object/cuda_get.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 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. If you would like to stop receiving emails from NVIDIA, click here to unsubscribe. 2701 San Tomas Expressway, Santa Clara, CA 95050 Copyright © 2010 NVIDIA Corporation. All rights reserved.