Two leading computing visionaries will speak at the GPU Technology Conference (GTC) in September. Prof. Klaus Schulten, renowned computational biologist from the University of Illinois at Urbana-Champaign, will deliver a keynote highlighting discoveries made using the ‘computational microscope.’ Prof. Sebastian Thrun, robotics pioneer at Stanford University and distinguished engineer at Google, will speak on advances in GPU computing in computer vision and robotics. Registration is still open at www.nvidia.com/gtc.

In this workshop hosted by iVEC and the University of Western Australia on August 19th, you will learn about CUDA, the Fermi architecture, and Tesla GPU Computing products. You will learn about the basics of programming GPUs using CUDA C and C++, the variety of available computational libraries for CUDA, tools for profiling and debugging CUDA applications, and approaches for optimizing CUDA parallel applications. You will also learn about CUDA-enabled desktop, workstation, and cluster computing solutions provided by Xenon Systems. The workshop will also include presentations on some of the ways these technologies are being used by researchers in Western Australia.  Full details including speakers and agenda here (PDF).

eResearch SA, XENON Systems and NVIDIA invite you to attend a free workshop on GPU computing with CUDA. The workshop will be held at 1:00PM on Tuesday 10 August 2010 at Mawson Lakes, in the Mawson Centre Lecture Theatre MC1-02.

Register now by visiting: http://nvidia.eventbrite.com

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For our Australian readers interested in GPU computing.  Next week there will be two free workshops on GPU Computing with CUDA.  The workshops will both include a tutorial on CUDA C/C++ programming along with additional presentations by local speakers.  Topics will include an overview of NVIDIA Tesla and the latest  Fermi architecture GPUs, CUDA programming, debugging and profiling tools, and optimization strategies.

• “High-Performance GPU Computing with NVIDIA CUDA”
  Wednesday, July 14
  8:45 – 14:00
  The University of New South Wales, Sydney

• “High-Performance GPU Computing with NVIDIA CUDA and Fermi”
  Thursday, July 15
  9:15 – 15:30
  The Australian National University, Canberra

Follow the links above for full details.  Space is limited, so be sure to RSVP to the addresses provided.

SagivTech plans to offer a 3-days course that deals with Image Processing with CUDA in the USA this September. This is an advanced course that is intended for experienced CUDA developers looking for optimization methods for image processing applications implemented on NVIDIA GPUs.

The course will be held in the San Francisco area, 9am to 5pm September 27-29.

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Petapath, NVIDIA and Supermicro would like to invite researchers, students and industrial users to a series of free seminars and workshops dedicated to the Bio Workbench. The seminars will principally cover the use of AMBER 11′s CUDA-accelerated PMEMD (Particle Mesh Ewald Molecular Dynamics) tool but will be of interest to anyone using other molecular dynamics packages covered by the Bio Workbench.

Guest speakers include Ross Walker (SDSC) and Ian Gould (UCL) and currently there are two events being held in the UK, the 8th of July at Imperial College London and the 16th of July at The University of Manchester. Please visit www.petapath.com/nvidia to register.

In response to the large number of requests from the community, the organizing committee of HiBi 2010 extend the deadline for paper and abstract submission from Monday June 21 to Thursday July 1, 2010.

The HiBi workshop establishes a forum to link researchers in the areas of parallel computing and computational systems biology. One of the main limitations in managing models of biological systems comes from the fundamental difference between the high parallelism evident in biochemical reactions and the sequential environments employed for the analysis of these reactions. Such limitations affect all varieties of continuous, deterministic, discrete and stochastic models; undermining the applicability of simulation techniques and analysis of biological models. The goal of HiBi is therefore to bring together researchers in the fields of high performance computing and computational systems biology. Experts from around the world will present their current work, discuss profound challenges, new ideas, results, applications and their experience relating to key aspects of high performance computing in biology.

GPU-Accelerated Ion Placement

The Theoretical and Computational Biophysics Group, NIH Resource for Macromolecular Modeling and Bioinformatics (www.ks.uiuc.edu) at the University of Illinois at Urbana-Champaign, presents a Workshop on GPU Programming for Molecular Modeling to be held August 6-8, 2010, at the Beckman Institute for Advanced Science and Technology, on the University of Illinois campus in Urbana, Illinois, USA. Application, selection, and notification of participants is on-going through July 29, 2010.

Note: Participants are encouraged to attend the multi-site “Proven Algorithmic Techniques for Many-core Processors” workshop the preceding week (August 2-6) at the location of their choice. Registration for this workshop is required for participants without equivalent GPU-programming training or experience.

At ISC’10, Intel demonstrated their co-processor approach to HPC (formerly known as Larrabee, now codenamed Knights Corner). A prototype of the Intel Many Integrated Core (MIC) architecture with 32 in-order cores, each equipped with a 512-wide vector unit and connected via an on-chip coherent cache, delivered more than half a Teraflop performance for LU decomposition in a live demonstration during a keynote by Kirk Skaugen.

The full press release from ISC’10 is available here.

The Australia GPU Users groups are informal special interest groups founded to bring together GPU users from all fields and experience levels to learn and share their ideas and creations at friendly meetings.  There are currently GPU users groups forming in Brisbane, Sydney, and Perth.

The groups will discuss general GPU computing, including GPGPU, CUDA, OpenCL, DirectCompute, DirectX and OpenGL and related technologies. There will be short presentations during the meetings, as well as informal discussions on a range of subjects, including core fundamentals, hardware architectures, parallel programming as well as specific optimisations and also examples of applications from different fields of industry, science and multimedia.

Sign up today: the meetings will allow you to meet others who share your interest in GPUs.

GPGPU.org is maintaining a list of GPU Users groups.  If you have a local GPU users group, please tell us about it!