The Third International Workshop on Frontier of GPU Computing (FGC 2012)  
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FGC 2012 - The Third International Workshop on Frontier of GPU Computing

To be held in conjunction with HPCC 2012

Liverpool, UK, 25 - 27 June, 2012

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Journal Special Issues

Distinguished selected papers accepted and presented in FGC 2012, after further extension and revisions, will be published in special issues of the following prestigious SCI-Indexed Journals:

- Future Generation Computer Systems (Elsevier)

- Journal of Computer and System Science (Elsevier)

- Journal of Supercomputing (Springer)

- Concurrency and Computation: Practice and Experience (John Wiley & Sons)

- The Computer Journal (The British Computer Society)

- Simulation Modelling Practice and Theory (Elsevier)

- Journal of Systems Architecture (Elsevier)

Scope

We are witnessing a tremendous adoption of GPU computing in today's top supercomputers as well as personal supercomputers. More and more applications are being accelerated by GPUs, including those from computational finance, numerical computing, image/video processing, engineering simulations, bioinformatics, weather simulations, quantum chemistry, etc.

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 We solicit original and previously unpublished papers addressing research challenges and advances towards the design, implementation and evaluation of massively parallel GPU computing.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:

- Large-scale Simulations on GPUs

- Heterogeneous Computing

- Performance Modeling and Benchmarking

- Multi-core and Many-core Processor Architectures

- Parallel Programming Languages and Compilers

- Middleware and Libraries

- Parallel and Distributed Algorithms on GPU Clusters

- Self-configuration and Fault-tolerance

- Green GPU Computing

- GPU Clouds