A half-day workshop and discussion forum will be held from 8:45-13:00, Wednesday May 27, in Lecture theatre 3 of the Alan Gilbert Building at The University of Melbourne, Victoria, Australia. A  light lunch will be supplied afterwards from 13:00-14:00. With speakers from NVIDIA and Xenon Systems, this workshop is hosted by the ARC Centre of Excellence for Mathematics and Statistics of Complex Systems (MASCOS), and the Department of Mathematics and Statistics at the University of Melbourne.

Due to recent advances in GPU hardware and software, so called general-purpose GPU computing (GPGPU) is rapidly expanding from niche applications to the mainstream of high performance computing. For HPC researchers, hardware gains have increased the imperative to learn this new computing paradigm, while high level programming languages (in particular, CUDA) have decreased the barrier to entry to this field, so that it is now possible for new developers to rapidly port suitable applications from C/C++ running on CPUs to CUDA running on GPUs. For appropriate applications, GPUs have significant, even dramatic, advantages compared to CPUs in terms of both Dollars/FLOPS and Watts/FLOPS.

For more information see the workshop announcement.

A GPU computing workshop and discussion forum will be held at the UWA University Club Thursday, May 7th.  The workshop aims to provide a detailed introduction to GPU computing with CUDA and NVIDIA Tesla computing solutions, and to present research in GPU and Heterogeneous computing being undertaken in Western Australia.

Mark Harris (NVIDIA) will present an introduction to the CUDA architecture, programming model, and the programming environment of C for CUDA, as well as an overview of the Tesla GPU architecture, a live programming demo, and strategies for optimizing CUDA applications for the GPU. To better enable the uptake of this technology, Dragan Dimitrovici from Xenon Systems will provide an overview of CUDA enabled hardware options. The workshop will also include brief presentations of some of the projects using CUDA within Western Australia, including a presentation from Professor Karen Haines (WASP@UWA) on parallel computing strategies required for optimizing applications for GPU and heterogeneous computing.

Please see the workshop flyer for full details.

Update: Slides from the UNSW GPU Computing Workshop are now available at the workshop website.

This half-day Workshop on High Performance GPU Computing with NVIDIA CUDA will be hosted by the Computer Science & Engineering department of the University of New South Wales, Sydney, Australia next Friday, April 17, 2009.  The workshop will provide an introduction to the CUDA architecture, programming model, and the programming environment of C for CUDA, as well as an overview of the Tesla GPU architecture, a live programming demo, and strategies for optimizing CUDA applications for the GPU. The workshop will also include a brief presentation of some of the projects using CUDA within the School of Computer Science and Engineering, UNSW, and of the hardware requirements for getting started with CUDA. The speakers are Mark Harris (NVIDIA), Manuel Chakravarty (UNSW), and Dragan Dimitrovici (Xenon Systems).  Registration is free, but mandatory, and the number of seats is limited to 50. For more information and registration details, visit the workshop webpage.

The 2009 SPEEDUP workshop will focus on Multicore computing and Parallel Languages. Topics include, but are not limited to OpenCL, NVIDIA CUDA, the Cell processor and GPU Computing. The event will take place in Lausanne, Switzerland, on September 7 and 8, 2009. The second day features a tutorial on GPU Computing with NVIDIA CUDA, organized by Dominik Göddeke (TU Dortmund), Robert Strzodka (Max Planck Institute Informatik) and Christian Sigg (NVIDIA).

The 2009 workshop on Architecture-aware Simulation and Computing, held in conjunction with the 2009 International Conference on High Performance Computing & Simulation (HPCS 2009), will include a couple of talks on GPU computing. Please see the workshop website for more information. Registration information and the full conference program will be available soon.

The paper deadline for the Minisymposium on GPU Computing at the 8th International Conference on Parallel Processing and Applied Mathematics has been extended to April 30. The minisymposium is organized by Jose R. Herrero, Enrique S. Quintana-Orti and Robert Strzodka, and will take place September 13-16 2009, in Wroclaw, Poland.

PPAM is also happy to announce a full day tutorial on GPU Computing, organized by Robert Strzodka and Dominik Göddeke. The program and list of speakers will be available soon.

This workshop,  hosted by eResearch SA and to be presented by Mark Harris (NVIDIA) with Dragan Dimitrovici (Xenon Systems), aims to provide a detailed introduction to GPU computing with CUDA and NVIDIA GPUs such as the Tesla series of high-performance computing processors.

The workshop will be held from 9:00-13:00 on Tuesday 28th April, in the Henry Ayers Room, Ayers House
288 North Terrace, Adelaide (opposite the Royal Adelaide Hospital).

CUDA is NVIDIA’s revolutionary parallel computing architecture for GPUs. The available software tools include a C compiler for developers to build applications, as well as useful libraries for high-performance computing (BLAS, FFT, etc). Several widely-used scientific applications have been ported to run on GPUs using CUDA. This half-day workshop will provide an introduction to the CUDA architecture, programming model, and the programming environment of C for CUDA, as well as an overview of the Tesla GPU architecture, a live programming demo, and strategies for optimizing CUDA applications for the GPU. The workshop will also include a brief presentation of some of the current NVIDIA hardware offerings for GPU computing using CUDA.

The workshop is free, but space is limited. For complete details and registration, visit the workshop web page or download the brochure.

The workshop “Path to PetaScale: Adapting GEO/CHEM/ASTRO Applications for Accelerators and Accelerator Clusters” was held at the National Center for Supercomputing Applications (NCSA), University of Illinois Urbana-Champaign, on April 2-3, 2009. This workshop, sponsored by NSF and NCSA, helped computational scientists in the geosciences, computational chemistry, and astronomy and astrophysics communities take full advantage of emerging high-performance computing accelerators such as GPUs and Cell processors. The workshop consisted of joint technology sessions during the first day and domain-specific sessions on the second day. Slides from the presentations are now online.

University of Waterloo, Waterloo, Ontario, Canada
May 20th, 2009

This one-day symposium will explore the use of GPUs and Cell processors for accelerating scientific and high performance computing. The symposium program includes invited keynote presentations on large-scale fluid dynamics simulations using the Roadrunner supercomputer and acceleration of biomolecular modeling applications with GPU computing, as well as vendor research presentations from IBM, NVIDIA and RapidMind. Researchers working with these architectures are invited to contribute presentations and posters.

For further information and to register please visit the event website.

This series of free web seminars (“webinars”) starting April 15^th 2009 will cover the basics of data-parallel computing on GPUs using NVIDIA’s CUDA architecture. Tutorials will be presented by the NVIDIA Developer Technology team and will cover many topics including C for CUDA, programming with the OpenCL API , using DirectX Compute and performance optimization techniques.

Webinar topics, schedules and registration information will be updated regularly. Pre-registration is required. Please follow the links provided (after clicking “read the rest of this entry”), and registration details will be emailed back upon successful registration. Read the rest of this entry »