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Most of the legacy and even some of the current advanced Weather, Climate and solid Earth Sciences (WCES) applications require code re-engineering, improving computational kernels, new parallel model design and new algorithms, in order to exploit new and emerging computational architectures and to increase the spatial resolution. At higher resolution, new physical aspects can be taken into account and integrated into the climate models. It is necessary to design efficient and scalable computational kernels and algorithms, as well as considering new approaches and paradigms to better exploit high levels of concurrency in HPC systems. Moreover, due to the emergency of Exascale systems, issues related to energy-efficiency should be carefully addressed. 

The workshop aims at discussing the state-of-the-art research in high-performance computing for WCES applications. Emphasis will be on novel advanced algorithms, formulations and simulations, as well as the related issues for computational environments and infrastructures. 

The workshop aims also at facilitating communication among diverse scientific expertise geoscientists, applied mathematicians, computational and computer scientists to exchange advanced knowledge, insights and science discoveries. 

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The HPC-WCES Workshop topics of interest include (but are not limited to) the following:

  • Modeling & Simulation on HPC systems for WCES applications

  • Computational models in Climate and solid Earth Sciences (including seismology, geodynamics and volcanology)

  • Climate Change Resilience

  • Advanced numerical methods for WCES applications, such as FEM, FDM, FVM, Mesh-Free method, Particle method, and etc.

  • Evaluating Models for Climate Changes

  • Efficiency and Scalability analysis of WCES models on high end computing infrastructures

  • Methodological approaches for performance analysis

  • Advanced algorithms for WCES applications to reduce communications

  • Numerical algorithms and hybrid parallel approaches for WCES models

  • Advanced algorithms for WCES applications to reduce energy consumption

  • Optimization and reengineering of WCES applications for both conventional multi- and many cores processors, and accelerators such as GPU, MIC

  • Frameworks and tools for development of codes for WCES models for Peta/Exa Scale Systems

  • Integration of HPC and Cloud computing for WCES applications

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重要日期
  • 会议日期

    07月18日

    2016

    09月22日

    2016

  • 09月22日 2016

    注册截止日期

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