CUDA: Week in Review
Monday, August 2, 2010, Issue #32 - Newsletter Home
Welcome to "CUDA: Week in Review," an online news summary for the worldwide CUDA and GPU Computing community.
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– See previous issues:
– Register for GPU Technology Conference (Sept. 20-23):
   (code: GMCUDANEWS10)
– Note: CUDA: Week in Review will return on Monday, August 23
GTC 2010 Update
Newly-confirmed GTC 2010 sessions:

      – Accelerating Biologically Inspired Computer Vision Models
                Tom Dean, Google

      – The Rendering Revolution
                Ken Pimentel, Autodesk

      – Supercomputing for the Masses: Killer-Apps, Parallel Mappings, Scalability
                Rob Farber, Pacific Northwest National Lab
New CUDA Book!
"CUDA By Example" by Jason Sanders and Edward Kandrot has been published by Addison-Wesley Professional. Relevant links:
– Dr. Dobb’s interview:
– Sample chapter:
– Source code:
– Amazon:
– Amazon Kindle:
– More CUDA books:
Supercomputing for the Masses, Part 19!
Dr. Dobb’s has released the latest installment of Supercomputing for the Masses by Rob Farber – with a focus on NVIDIA Parallel Nsight. Farber writes: "With the release of Parallel Nsight, NVIDIA has made a commitment to the debugging and profiling needs of a huge base of Microsoft Windows developers…."
– Read it here:
LS-DYNA for Multiphysics Simulation
LS-DYNA is a popular general-purpose finite element multiphysics simulation software package developed by the Livermore Software Technology Corporation (LSTC). Recently LSTC joined in a business and technology collaboration with NVIDIA to develop LS-DYNA for the CUDA-based Tesla platform, with the goal of attaining factors of speedup. LSTC presented and published "The Potential Impact of GPUs on LS-DYNA Implicit Mechanics" at the 11th International LS-DYNA Users Conference in June, and will deliver a talk on "Accelerating LS-DYNA Implicit with MPI, OpenMP and CUDA" at GTC 2010 in September. LS-DYNA is widely used in industries such as automotive, aerospace, consumer goods and others to simulate and predict product design behavior.
– LSTC website:
– LS-DYNA Users Conference website:
– LS-DYNA Users Conference paper:
– Download CUDA 3.1 Toolkit:
– OpenCL v1.1 pre-release drivers and SDK code samples are available to GPU Computing
   registered developers. Log in or apply for an account to download.
New Parallel Nsight Webinars
This new series of deep-dive webinars will help you learn how Parallel Nsight can speed up development. Topics include debugging of host and CUDA kernels, analysis of complex parallel applications, and graphics debugging and analysis.
Overview of Parallel Nsight 1.0 for Visual Studio
Aug. 20, 9 am -
Aug. 23, 8 pm -

Debugging Massively Parallel Apps with Parallel Nsight 1.0 and Microsoft Visual Studio
Aug. 25, 9:30 am -
Aug. 30, 8 pm -

Analyzing and Optimizing Massively Parallel Apps with Parallel Nsight 1.0 and Microsoft Visual Studio
Sept. 1, 9:30 am -
Sept. 6, 8 pm -

Debugging and Analyzing Graphics Apps with NVIDIA Parallel Nsight 1.0 and Microsoft Visual Studio
Sept. 8, 9:30 am -
Sept. 13, 8 pm -
GPU Computing Webinars from NVIDIA
– For info on all upcoming webinars, see:
Training from SagivTech
– CUDA course: Sept. 27-29, San Francisco (following GTC 2010):
– GPU Computing@30,000 feet:
Training from Acceleware
– Sept. 13-17, Calgary:
Training from EMPhotonics
– On-site training programs:
CUDA Certification
– New certification program for GPU computing developers:
CUDA and Academia
– Over 350 universities are teaching CUDA and GPU Computing courses around the world.
– The CUDA Center of Excellence Program recognizes universities expanding the frontier
   of parallel computing.
– The CUDA Research Center Program recognizes institutions performing leading-edge
– The CUDA Teaching Center Program recognizes universities providing education and
   hands-on instruction.
– The Academic Partnership Program provides support to researchers using GPUs to
   solve the world´s most challenging problems.
– Learn more about NVIDIA´s Research and University activities at
August 2010

Proven Algorithmic Techniques for Many-Core Processors
Aug. 2-6, Choice of onsite locations, or online

Wolfram Research 2- Mathematica in Finance and Economics
Aug. 4, Chicago

GPU Programming for Molecular Modeling
Aug. 6-8, Beckman Inst. for Advanced Science & Tech, UIUC

NEW: GPU Computing with CUDA
Aug. 10, Adelaide, South Australia (eResearch SA, XENON, NVIDIA)

Symposium on Chemical Computations on GPGPUs
Aug. 22-26, Boston

Unconventional High Performance Computing 2010 (UCHPC 2010)
Aug. 31-Sept. 1, Italy

September 2010

GPU Technology Conference (GTC) 2010
Sept. 20-23, San Jose, Calif. (register today, space is limited)


Supercomputing 2010
Nov. 13-19, New Orleans, LA

IEEE International Parallel & Distributed Processing Symposium
May 16-20, 2011, Anchorage, AL

(To list an event, email:

CUDA Articles in Dr. Dobb's
– Supercomputing for the Masses, Part 19:
– Supercomputing for the Masses, Part 18:
– Supercomputing for the Masses, Part 17:
– Supercomputing for the Masses, Part 16:
CUDA Books
– Programming Massively Parallel Processors by D. Kirk, W. Hwu:
– See additional books here:
CUDA Documentation
– Download developer guides and documentation:
– Read previous issues of CUDA: Week in Review:
– Follow CUDA & GPU Computing on Twitter:
– Network with other developers:
– Stayed tuned to GPGPU news and events:
– Learn more about CUDA on CUDA Zone:
– Read Kudos for 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.

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