The symposium will provide technical presentations from the companies advancing the development of GPUs, discussions of the challenges involved in effectively programming GPUs, and presentations on the use of GPUs in a range of chemical applications.

The deadline for submissions is 04/05/2010, and more information can be found at http://illinois.edu/lb/article/2101/33709.

Molecular Workshop Series – Running and Developing MD Algorithms on GPUs with OpenMM and PyOpenMM + Intro to MD and Trajectory Analysis

Simbios is excited to announce its upcoming Molecular Dynamics (MD) Workshop Series, highlighting new capabilities within the recently released OpenMM 1.0 and introducing PyOpenMM for rapid MD code development with high performance:

Day 1: Running and Developing MD Algorithms on GPUs with OpenMM
Day 2: Introduction to MD and Trajectory Analysis with Markov State Models

When: March 1-2, 2010 (sign up for one or two days)
Where: Stanford University

Registration is free but required and spaces are limited. Please visit http://simbios.stanford.edu/MDWorkshops.htm for the workshop agenda and to register.

RIKEN, one of the most prestigious research institutes in Japan, is the site of an upcoming computing workshop to be keynoted by NVIDIA CEO Jen–Hsun Huang. RIKEN conducts research across a wide range of fields, including physics, chemistry, medical science, biology, and engineering. The workshop will be held 1/28/10 – 1/29/10. See https://reg-nvidia.jp/public/seminar/view/3 for full details.  In addition to keynote speeches by Jen-Hsun Huang and Professor Takayuki Aoki from Tokyo Institute of Technology, guest speakers at the event include Prof. Lorena Barba from Boston University, Mr. Mr. Eiji Fujii from Square ENIX, Dr. Mark Harris from NVIDIA (and GPGPU.org), and Dr. James Phillips from The University of Illinois at Urbana-Champaign.

From the workshop webpage:

“Accelerated Computing” is an old concept that is recently redefined in High-Performance Computing. It was started by dedicated machines like GRAPEs, but a great revolution has been occurring fueled by recent advancement in GPU Computing, both in hardware and in software such as CUDA C and OpenCL. This conference aims to review cutting edge technologies and scientific applications, as well as to discuss the future of the “Accelerator” approach in scientific and industrial HPC. Please join the conference for fruitful discussions on the future of HPC with highly-parallel processors.

This workshop will be held in conjunction with CIT 2010, Bradford, UK, 29 June – 01 July, 2010.  From the announcement:

We are undergoing a new revolution in parallel processor technologies, especially the Graphics Processing Units. GPUs have become widely used nowadays to accelerate a broad range of applications, including computational finance, numerical computing, image/video processing, engineering simulations, quantum chemistry, just to name a few.
The goal of this workshop is to provide a forum for researchers and practitioners to discuss and share their research and development experiences and outputs on the massively parallel GPU platforms, software development tools, optimization techniques, parallel algorithm design, and all kinds of successful applications. We solicit original and previously unpublished papers addressing research challenges and advances towards the design, implementation and evaluation of massively parallel GPU computing.

Read the rest of this entry »

Second USENIX Workshop on Hot Topics in Parallelism (HotPar ’10)
June 14-15, Berkeley, CA

Website: http://www.usenix.org/event/hotpar10/

Following the tremendous success of HotPar ’09, the Second USENIX Workshop on Hot Topics in Parallelism (HotPar ’10) will once again bring together researchers and practitioners doing innovative work in the area of parallel computing. Multicore processors are the pervasive computing platform of the future. This trend is driven by limits on energy consumption in computer systems and the poor energy performance of conventional microprocessors. Parallel architectures can potentially mitigate these problems, but this new computer architecture will only be successful if languages, systems, and applications can take advantage of parallel hardware. Navigating this change will require new concurrency-friendly programming paradigms, new methods of application design, new structures for system software, and new models of interaction between applications, compilers, operating systems, and hardware.

Submissions

We request submissions of position papers that propose new directions for research of products in these areas, advocate non-traditional approaches to the problems engendered by parallelism, or potentially generate controversy and discussion. We encourage submissions from practitioners as well as from researchers. Read the rest of this entry »

CALL FOR PAPERS: GPGPU-3
General-purpose Processing on Graphics Processing Units

http://www.ece.neu.edu/groups/nucar/GPGPU

March 14, 2010
Pittsburgh, PA
Held in cooperation with ASPLOS XV

Overview:

Graphics cards have long been used to accelerate gaming and 3D graphics applications. More recently, they have begun to be used to accelerate more general-purpose and high-performance applications. GPUs are beginning to be used to accelerate a wide range of remote sensing, environmental monitoring, business forecasting and medical imaging applications. We have begun to see an explosion in the number of general-purpose programming environments become available that allow these platforms to be used to accelerate a wider class of applications.

The goal of this workshop is to provide a forum to discuss these general-purpose programming environments and platforms, as well as describe successful applications that have leveraged this approach to acceleration. This year’s workshop is particularly interested in code/compiler optimizations, supercomputing environments, and virtualization techniques that lower the barrier to successfully utilizing these platforms.

Topics of interest include, but are not limited to: Read the rest of this entry »

Multi- and many-core microprocessors are being deployed in a broad spectrum of applications including Clusters, Clouds and Grids. Both conventional multi- and many-core processors, such as Intel Nehalem and IBM Power7 processors, and unconventional many-core processors, such as NVIDIA Tesla and AMD FireStream GPUs, hold the promise of increasing performance through parallelism. However, GPU approaches in parallelism are distinctly different from those of conventional multi- and many-core processors, which raises new challenges: For example, how do we optimize applications for conventional multi- and many-core processors? How do we reengineer applications to take advantage of GPUs’ tremendous computing power in a reasonable cost-benefit ratio? What are effective ways of using GPUs as accelerators? The goals of this workshop are to discuss these and other issues and bring together developers of application algorithms and experts in utilizing multi- and many-core processors. Accepted papers will be published in the CCGRID proceedings. Selected papers will be published in a special issue of the Journal Concurrency and Computation: Practice and Experience.

Topics of interests include (but not limited to): Read the rest of this entry »

ECCOMAS CFD 2010, one of the world’s most important conferences in the field of CFD, is proud to announce a mini-symposium on “GPU Computing in Computational Fluid Dynamics”, organised by Stefan Turek and Dominik Göddeke.

Contributions to this event are cordially invited and should include a tentative title and an extended abstract. Submissions are due no later than  December 15 (via email to stefan.turek (at) math.tu-dortmund.de). For details, please contact Stefan Turek or Dominik Göddeke.

Support of this mini-symposium by German BMBF (SKALB project) is gratefully acknowledged.

There will be a special session on Computational Intelligence on Consumer Games and Graphics Hardware (CIGPU 2010) as part of IEEE World Congress on Computational Intelligence Conference 2010 (WCCI-2010).

Building on the success of previous CIGPU sessions and workshops, CIGPU 2010 will further explore the role that GPU technologies can play in computational intelligence (CI) research.  Submissions of original research are invited on the use of parallel graphics hardware for computational intelligence.  Work might involve exploring new techniques for exploiting the hardware, new algorithms to implement on the hardware, new applications for accelerated CI, new ways of making the technology available to CI researchers or the utilisation of the next generation of technologies.

“Anyone who has implemented computational intelligence techniques using any parallel graphics hardware will want to submit to this special session.”

Slides from two full-day conference tutorials are now available:

• SPEEDUP 2009 Practical GPU Computing with NVIDIA CUDA: Lausanne, Switzerland, September 8, 2009 (Dominik Göddeke, Robert Strzodka and Christian Sigg)
• PPAM 2009 GPU and OpenCL Tutorials: Wroclaw, Poland, September 13, 2009 (Robert Strzodka, Dominik Behr and Dominik Göddeke)

Both tutorials present basics and advanced topics of scientific computing on GPUs, including ready-to-use GPU libraries, GPU architecture, case studies and many hands-on examples.