WCES 2018 - 4th International Workshop on High Performance Computing for Weather, Climate, and Solid Earth Sciences (HPC-WCES 2018)

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 emergence 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.
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