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 “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 15th 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 »
Place: Eurographics 2009, TU Munich
Date: Tuesday, March 31, 15:00-16:30
Room: MI 02.13.010
Co-located with EG is the Eurographics Symposium on Parallel Graphics and Visualization, so there is yet another good reason to attend.
- 15:00-15:20 Equalizer: Past, Present and Future, Stefan Eilemann, Eyescale Software GmbH
- 15:20-15:40 Virtual Architecture with Equalizer and OpenSceneGraph, Julia Sigmund, University of Siegen
- 15:40-16:00 Performance Optimizations for Image Compositing, Renato Pajarola, University of Zurich
- 16:00-16:30 Questions and Answers, Open Discussion
In this panel to be held at the International Supercomputing Conference in Hamburg, Germany on Thursday, June 25, 2009, five GPU experts from both industry and academia will share their perspectives on several aspects of GPU technologies, including hardware architecture, software tools, and applications. The panel chair is Prof. Dr. Kun Zhou of Zhejiang University, and speakers include Dr. Justin Hensley from AMD, Dr. Pradeep Dubey from Intel, Dr. Miguel Sainz from NVIDIA, and Dr. Li-Yi Wei from Microsoft.
The Interdisciplinary Centre for Mathematical and Computational Modelling and Institute of Informatics at the University of Warsaw held a mini-conference and workshop called “Applications of Graphic Processors in High Performance Computing” on March 19-21, in Warsaw, Poland. Speakers at the conference were authors of several publications on applications of GPUs on methods for GPU programming, and applications of GPUs in analysis of medical data, computational fluid mechanics, bioinformatics and finite element computations. A hands-on workshop on CUDA programming was offered for a limited number of conference participants. More information is available at the AGPinHPC conference website.