Goal of this Workshop
The IHPCES workshop provides a forum for presentation and discussion of
state-of-the-art research in high performance computational earth
sciences. The emphasis of the eleventh workshop continues to be on advanced
numerical algorithms, large-scale simulations, architecture-aware and
power-aware applications, computational environments and infrastructure,
and data analytics methodologies in geosciences. With the imminent arrival
of the exascale era, strong multidisciplinary collaborations between these
diverse scientific groups are critical for the successful development of
earth sciences HPC applications. The workshop facilitates communication
between earth scientists, applied mathematicians, computational and
computer scientists and presents a unique opportunity to exchange advanced
knowledge, computational methods and science discoveries. Work focusing
emerging data and computational technologies that benefit the broader
geoscience community is especially welcome. Topics of interest include,
but not limited to:
- Large-scale simulations on both homogeneous and heterogeneous
supercomputing systems in earth sciences, such as atmospheric science,
ocean science, solid earth science, and space & planetary science, as well
as multi-physics simulations.
- Advanced modeling and simulations on natural disaster prevention and
mitigation.
- Advanced numerical methods such as FEM, FDM, FVM, BEM/BIEM, Mesh-Free
method, and Particle method etc.
- Parallel and distributed algorithms and programming strategies focused
on issues such as performance, scalability, portability, data locality,
power efficiency and reliability.
- Software engineering and code optimizations for parallel systems with
multi-core processors, GPU accelerators or Xeon Phi processors.
- Algorithms for Big Data analytics and applications for large-scale data
processing such as mesh generation, I/O, workflow, visualization and
end-to-end approaches.
- Methodologies and tools designed for extreme-scale computing with
emphasis on integration, interoperability and hardware-software co-design.