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GPU-Cloud 2012 - GPU-Cloud 2012 The 2012 International Workshop on GPU Computing in Clouds

Date2012-12-03

Deadline2012-08-17

VenueTaipei, Taiwan Taiwan

Keywords

Websitehttps://2012.cloudcom.org

Topics/Call fo Papers

The Graphics Processing Units (GPU) are now considered as serious challengers for high-performance computing solutions because of its suitability for massively parallel processing and vector computations, especially in clouds. GPUs have been used to accelerate a wide range of applications such as bioinformatics, physics and chemistry, business forecasting and medical imaging applications etc., A special workshop dedicated to GPU structure, methods, algorithms and applications in cloud computing environment will be hosted in conjunction with the the 4th International Conference on Cloud Computing technology and Science (CloudCom 2012). The primary goal of this workshop is to provide a forum to discuss above general purpose GPU computing in clouds. We are calling papers which provide insights into current GPU practice and experience, and chart future directions in data-parallel processor technologies and applications. Contributions presenting novel, original work in all areas of GPU from hardware abstractions to specific applications in clouds are welcome. The topical areas covered by this workshop include but are not limited to:
GPU programming with CUDA and OpenCL
GPGPU applications with OpenGL and DirectX
GPU compilers and operating systems
GPU virtualization (hardware sharing, migration, version problem...)
GPU cluster and cloud computing
Hybrid parallel computing with GPU and Multi-core architectures
GPU+MPI computation
GPU power/efficiency
GPU benchmarking/measurements/scalability
GPU-based high performance computing applications in the following scientific areas, but not limit to:
Computational chemistry
Computational physics
Bioinformatics and computational biology
Image and video compression
Signal processing
Data security
Computer graphics and multimedia
GPU intensive visualization (scientific data, gaming, ...)
Computational fluid dynamics
Data mining

Last modified: 2012-06-08 22:44:04