high performance computing on graphics processing units: hgpu.org

The conference will consider mathematical, computer science and engineering developments that impact on the use of HPC in engineering analysis, design, and simulation. Engineering is interpreted in its widest sense to include aeronautical, civil, mechanical, electrical, materials, bioengineering, geotechnical, structural and environmental fields.
The range of topics considered by the Conference will include:
The mathematical and computer science aspects include, but are not limited to:

* parallelization
* domain decomposition
* solution methods
* partitioning
* message passing systems
* grid technology
* distributed systems
* computer architecture
* parallel and distributed system architectures
* parallel and distributed software technologies
* parallel and distributed algorithms
* peer-to-peer computing
* grid and cluster computing
* cloud computing
* performance evaluation and measurement
* tools and environments for software development
* petaflop computing
* parallellisation of sequential/legacy codes
* GPU – CPUGPU – CUDA architectures

Papers describing applications of HPC (parallel, distributed and grid computing) to engineering are invited, including, but not limited to:

* engineering simulation
* engineering design
* engineering assessment
* visualization and VR
* computational steering
* neural networks
* genetic algorithms
* evolutionary computing
* cellular automata
* data mining
* meta-heuristics
* optimization
* high-performance scientific and engineering computing
* bioinformatics
* computational engineering on special
* purpose hardware (e.g. GPUs)

Papers describing the use of parallel, distributed, grid and cloud computing in all aspects of engineering are included. Engineering areas include: solid mechanics, computational fluid mechanics, geomechanics, soil structure interaction, fluid structure interaction, multi-physics simulation, optimization, environmental engineering, etc.