GPGPU» Tag: Conferences :: GPGPU.org

HiBi 2010 deadline extension to July 1

dom — Fri, 18 Jun 2010 23:04:11 +0000

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.

Submit GTC 2010 Proposals by June 1

Mark Harris — Thu, 20 May 2010 21:40:26 +0000

The GPU Technology Conference (GTC 2010) will be held Sept. 20-23, 2010 in San Jose, Calif. Developers, researchers, scientists and entrepreneurs are invited to submit proposals on GPU-related topics. See www.nvidia.com/gtc.

GPU Developers Summit: Session Topics deadline: June 1, 2010
Emerging Companies Summit: “CEO on Stage” Nominations deadline: August 1, 2010
NVIDIA Research Summit: Posters deadline: August 15, 2010

To submit a proposal, you will be asked to set up a GTC 2010 account so you can track the status of your submission.

Submission guidelines: www.nvidia.com/object/call_for_submissions.html
Join GTC 2010 mailing list: www.nvidia.com/object/email_updates.html

NVIDIA Announces GPU Technology Conference 2010

Mark Harris — Wed, 31 Mar 2010 09:03:36 +0000

This year’s GPU Technology Conference (GTC 2010) will take place on Monday, Sept. 20 to Thursday, Sept. 23 at the San Jose Convention Center in San Jose, California.

Building on last year’s inaugural conference, GTC 2010 will feature an even broader and deeper selection of technical sessions, interactive tutorials, technology previews, and industry and academic presentations.

Three concurrent GPU-focused summits will occur under one roof:

Emerging Companies Summit: A showcase for innovative startups to demonstrate products and network with VC’s and other investors.
GPU Developers Summit: Sessions, tutorials, and presentations for developers, engineers, and scientists.
NVIDIA Research Summit: A unique opportunity for students, professors, and researchers to present their findings and collaborate.

For more information:

Join the GTC 2010 mailing list for updates.
See GTC Call for Submissions to learn about submitting content.
To inquire about being a sponsor or exhibitor, visit GTC Sponsors/Exhibitors.

Call for Papers: META’10, Metaheuristics on GPUs

dom — Thu, 11 Mar 2010 14:07:45 +0000

The 3rd International Conference on Metaheuristics and Nature Inspired Computing, META’10, features a special session on Metaheuristics on graphics hardware, organized by Geir Hasle and Trond Runar Hagen. It focuses on the utilization of modern commodity computer architectures, in particular Graphics Processing Units (GPUs), to enhance the performance of metaheuristics. A broad spectrum of papers is invited, ranging from case studies focused on specific problems and applications to theoretical aspects and frameworks.

The conference will take place October 28-30, 2010, on Djerba Island, Tunisia. More information is available at the conference web page.

CfP: High performance computational systems Biology

dom — Mon, 08 Feb 2010 11:30:07 +0000

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.

Topics of interest include, but are not limited to:

Parallel stochastic simulation
Biological and Numerical parallel computing
Parallel and distributed architectures
Emerging processing architecture: Cell processors, GPUs, mixed CPU-FPGA, etc.
Parallel model checking techniques
Parallel parameter estimation
Parallel algorithms for biological analysis
Application of concurrency theory to biology
Parallel visualization algorithms
Web-services and Internet computing for e-Science
Tools and applications

More Information: http://www.cosbi.eu/hibi2010/

CfP: High Performance Graphics 2010

dom — Sun, 07 Feb 2010 17:36:53 +0000

High-Performance Graphics 2010 continues last year’s success at synthesizing two important and cutting-edge topics in computer graphics, the previous Graphics Hardware and Interactive Ray Tracing conferences. The scope of the conference is the overarching field of performance-oriented graphics systems, covering innovative algorithms, efficient implementations, and hardware architecture. This broader focus offers a common forum bringing together researchers, engineers, and architects to discuss the complex interactions of massively parallel hardware, novel programming models, efficient graphics algorithms, and innovative applications.

The program features three days of paper and industry presentations, with ample time for discussions during breaks, lunches, and the conference banquet. The conference, which will take place on June 25-27, is co-located with Eurographics Rendering Symposium on the campus of the Max-Planck Institut Informatik, Saarland University, Saarbrucken, Germany.

Original and innovative performance-oriented contributions are invited from all areas of graphics, including hardware architectures, rendering, physics, animation, AI, simulation, data structures, with topics including (but not limited to):

New graphics hardware architectures
Rendering architectures and algorithms
Parallel computing for graphics (including GPU Computing)
Algorithmic foundations
Languages and compilation

The conference website with additional information is located at http://www.highperformancegraphics.org.

CFP: FGC 2010 – The First International Workshop on Frontier of GPU Computing

dom — Fri, 15 Jan 2010 05:57:01 +0000

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.

Topics of interest include, but are not limited to:

Applications of GPU Computing
Performance Modeling and Benchmarking
Processor Architectures
Programming Languages and Compilers
Middleware and Libraries
GPU Clusters
Self-configuration and Fault-tolerance

Distinguished selected papers accepted and presented in FGC 2010, after further extension and revisions, will be published in special issues of the following prestigious SCI-Indexed Journals:

Journal of Supercomputing – Springer
Journal of Computer and System Sciences – Elsevier
Concurrency and Computation: Practice and Experience – John Wiley & Sons

Authors are invited to submit manuscripts reporting original unpublished research and recent developments in the topics related to the workshop via the workshop homepage. The length of the papers should not exceed 6 pages + 2 pages for overlength charges (IEEE Computer Society Proceedings Manuscripts style: two columns, single-spaced), including figures and references, using 10 fonts, and number each page. All papers will be peer reviewed and the comments will be provided to the authors. The accepted papers will be published together with those of other workshops by the IEEE Computer Society Press.

CFP: Frontiers of GPU, Multi- and Many-Core Systems Workshop at CCGrid 2010

dom — Fri, 11 Dec 2009 21:55:08 +0000

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):

programming languages and models
innovative algorithms
data-intensive applications
optimization and debugging tools
Clouds, Grids and Clusters of many-core processors
system software
compiler technologies
runtime systems
operating systems
workload characterization
performance modeling and evaluation
homogenous and heterogeneous many-core architectures
many-core as accelerators
interconnection networks
many-core embedded systems
simulation of many-core systems
design space exploration
resource usage optimization

For more information, important dates, submission instructions and the program committee, please refer to the workshop website http://salsahpc.indiana.edu/FGMMS2010/.

Supercomputing 2009 birds-of-a-feather session on “The Art of Performance Tuning for CUDA and Manycore Architectures”

Mark Harris — Thu, 03 Dec 2009 00:41:17 +0000

High throughput architectures for HPC seem likely to emphasize many cores with deep multithreading, wide SIMD, and sophisticated memory hierarchies. GPUs present one example, and their high throughput has led a number of researchers to port computationally intensive applications to NVIDIA’s CUDA architecture.

This session explored the art of performance tuning for CUDA using several case studies. Topics included profiling to identify bottlenecks, effective use of the GPU’s memory hierarchy and DRAM interface to maximize bandwidth, data versus task parallelism, and avoiding SIMD divergence. Many of the lessons learned in the context of CUDA are likely to apply to other many-core architectures used in HPC applications.

Supercomputing 2009 Tutorial: High-Performance Computing with CUDA

Mark Harris — Tue, 01 Dec 2009 04:54:34 +0000

The presentation slides from the Supercomputing 2009 full-day tutorial “High-Performance Computing with CUDA” are now available at http://gpgpu.org/sc2009.

Abstract:

NVIDIA’s CUDA is a general-purpose architecture for writing highly parallel applications. CUDA provides several key abstractions—a hierarchy of thread blocks, shared memory, and barrier synchronization—for scalable high-performance parallel computing. Scientists throughout industry and academia use CUDA to achieve dramatic speedups on production and research codes. The CUDA architecture supports many languages, programming environments, and libraries including C, Fortran, OpenCL, DirectX Compute, Python, Matlab, FFT, LAPACK, etc.

In this tutorial NVIDIA engineers will partner with academic and industrial researchers to present CUDA and discuss its advanced use for science and engineering domains. The morning session will introduce CUDA programming, motivate its use with many brief examples from different HPC domains, and discuss tools and programming environments. The afternoon will discuss advanced issues such as optimization and sophisticated algorithms/data structures, closing with real-world case studies from domain scientists using CUDA for computational biophysics, fluid dynamics, seismic imaging, and theoretical physics.