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.

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.

Barcelona Computing Week
BSC/UPC, Barcelona, Spain
July 5-9, 2010
http://bcw.ac.upc.edu

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.

Instructors:

• Wen-mei Hwu, University of Illinois at Urbana-Champaign
• David Kirk, NVIDIA Fellow, former Chief Scientist, NVIDIA Corporation

Co-Directors:

• Mateo Valero (BSC/UPC)
• Wen-mei Hwu (UIUC)

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This workshop focuses on computational issues in the evaluation of financial instruments using advanced architectures. The workshop is intended to bring together academics from finance,
statistics, numerical analysis and computer science, as well as decision makers and strategists from the financial industries and regulators from supervisory authorities in order to discuss recent challenges and results in using high-performance technologies for the evaluation of financial instruments. Accepted papers presented at the Workshop will be published in a special Euro-Par 2010 Workshop Volume in the Lecture Notes in Computer Science (LNCS) series after the Euro-Par 2010 conference.

This workshop will be held in conjunction with Euro-Par 2010, Ischia, Naples, Italy, on August 30, 2010. More information and the full call for papers are available on the workshop homepage.

The International Workshop on Parallel and Symbolic Computation (PASCO) is organizing a Computer Algebra Parallel Programming Contest, were participants are invited to solve problems using large clusters of multicore CPUs and GPUs. More information about the programming contest and about the extended deadline for the workshop can be found on the PASCO 2010 website.

The goal of the session, held in conjunction with Euro-Par 2010 on August 30th, 2010 in Ischia – Naples, Italy, is to present latest research in how hardware and software (yet) unconventional for HPC is/can be used to reach given goals such as best performance/watt, with according programming models, compiler techniques and tools. Thus, suggested topics for papers include, but are not limited to the following:

• Innovative use of hardware and software unconventional for HPC
• HPC applications or visualizations in connection with HPC on GPUs (GPGPU), IBM Cell, Low Power Processors, FPGAs, Visualization cards etc.
• Cluster/Grid solutions using unconventional hardware, e.g. clusters of PS3s, GPUs, Low Power Processors, FPGAs etc.
• Performance and scalability studies in HPC using unconventional hardware
• Reconfigurable Computing for HPC
• Performance modeling, analysis and tools for HPC with unconventional hardware
• New or adapted/extended (parallel) programming models for HPC with unconventional hardware

The submission deadline is June 14th, and the full call for papers along with further information and submission instructions can be found at http://uchpc10.cs.tum.edu.

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.