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
This tutorial by Benedict R. Gaster from AMD provides a detailed introduction to OpenCL. Covered topics include:
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.
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.
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.
AMD is offering an introductory tutorial to OpenCL™ that will be held alongside the 2010 Symposium on Application Accelerators in High Performance Computing (SAAHPC’10). The tutorial is a “programmer’s introduction” which covers the ideas behind OpenCL™ and their translation to source code. Read the rest of this entry »
The Programming and Tuning Massively Parallel Systems Summer School (PUMPS) is aimed at enriching the skills of researchers, graduate students and teachers with cutting-edge techniques and hands-on experience in developing applications for many-core processors with massively parallel computing resources like GPU accelerators.
This symposium is organized by the University of Pittsburgh’s Center for Simulation & Modeling and Pittsburgh Supercomputing Center. The program includes a half-day hands-on tutorial, and several invited talks and presentations by experts from academia and industry. Registration is required. More information can be found at the symposium website.
This web site, maintained by Eric Bainville, presents several example codes, tutorials and low-level benchmarks, using OpenCL to compare multicore CPUs and GPUs. Examples include operations and basic arithmetic throughput, a Mandelbrot renderer and and multiprecision algorithms to multiply million-digit numbers.
Remote Access: GoToMeeting
Date & Time: Thursday, December 10 at 15:00 CST
Abstract:
OpenCL is a new industry standard programming system for developing parallel programs that typically execute on heterogeneous computing systems. OpenCL has much in common with NVIDIA´s CUDA programming toolkit, but differs in a number of important respects as a result of its goal of supporting a broader range of target hardware platforms. This talk will introduce OpenCL and provide some basic comparisons with other programming systems.
Bio: John Stone is a Senior Research Programmer in the Theoretical and Computational Biophysics Group at the Beckman Institute for Advanced Science and Technology. Mr. Stone is the lead developer of VMD, a high performance molecular visualization tool used by researchers all over the world. His research interests include molecular visualization, GPU computing, parallel processing, ray tracing, haptics, and virtual environments.
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