ChEESE presents tutorial at GEOProcessing 2020
30 November 2020

ChEESE partner Alexey Cheptsov (HLRS) presented a tutorial titled "Development of Parallel Geoscientific Applications on High Performance Computing Architectures" at the Twelfth International Conference on Advanced Geographic Information Systems, Applications, and Services
(GEOProcessing 2020)
 on 22 November 2020.

The tutorial focused on parallelization strategies and experimenting with inherently-parallel programming models – Open Message-Passing (OpenMP) for C/C++ language or Java Threads for Java and multiprocessing techniques – Message Passing Interface (MPI) for a wide spectrum of programming languages. At the end of the tutorial, participants learned how to use basic parallelization in any kind of applications and make best of available parallel hardware. 

Editorial board composed of female ChEESE members oversees Frontiers in Earth Science special issue called "High-Performance Computing in Solid Earth Geohazards: Progresses, Achievements and Challenges for a Safer World"
02 December 2020

An all-female editorial board composed of ChEESE members Alice-Agnes Gabriel (LMU Munich), Marta Pienkowska (ETH Zurich), Sara Barsotti (IMO) and Manuela Volpe (INGV) will oversee a special issue in Frontiers in Earth Science titled "High-Performance Computing in Solid Earth Geohazards: Progresses, Achievements and Challenges for a Safer World". This Research Topic is proudly promoted by the ChEESE project. Everyone whose work falls under the scope of this topic is welcome to contribute. 

About this Research Topic

Many natural disasters related to solid earth sciences (e.g. earthquakes, volcanic eruptions, landslides or tsunamis) pose a serious threat to human lives and property. Over the last decade, solid earth has seen an explosion in the quantity and quality of observational data available as well as increasingly complex numerical methods to understand the solid earth at various spatial and temporal scales. In collaboration with computational sciences and applied mathematics, the solid earth science community has been advancing the cutting edge of numerical and computational technology.

Both furthering the fundamental understanding and the mitigation of solid earth hazards require modern computing infrastructure, complicated data workflows, and engagement with stakeholders formally involved in emergency management. High-performance computing (HPC) developments enable new strategies and approaches to assess solid earth geohazards and have the potential to support contingency plans.

This Research Topic - on the crossroads between solid earth sciences, HPC, and disaster risk reduction - aims to promote computational and numerical advances for both the long-term and near-real-time assessment of natural hazards, but also for the understanding of the dynamics of the planet on which we live.

We welcome contributions addressing all aspects of high-performance computing in the context of solid earth geohazards and implications for other natural hazards, including scientific findings, code preparation for existing and upcoming HPC infrastructures, HPC-based services for industry and public governance bodies, urgent computing and management of resources, development of workflows, data analytics and uncertainty management.

We welcome interdisciplinary expertise conveying scientific progress into achievements and challenges for supercomputing that empowers a better understanding of solid earth hazards and the natural processes driving them. A variety of types of manuscripts will be considered, namely: Original Research, Methods, Review, Technology and Code, and Perspective.

We especially encourage contributions dealing with:
• long term and short term probabilistic seismic/volcanic/tsunami hazard assessment;
• volcanic eruptions and volcanic plumes transport;
• tsunami modeling and tsunami source characterization;
• deterministic seismic ground motion modeling;
• multi-scale and multi-physics earthquake rupture modeling integrating observations;
• data assimilation;
• uncertainty quantification and reduction;
• urgent computing and early warning.

This Research Topic is promoted by the EU Center of Excellence in Solid Earth for Exascale computing ChEESE.

Submission deadlines

19 March 2021  Abstract
19 July 2021     Manuscript

View more information on the High-Performance Computing in Solid Earth Geohazards: Progresses, Achievements and Challenges for a Safer World webpage.


ChEESE training course helps participants solve HPC issues in Earth Science
01 December 2020

Achieving high performance is a complicated task. Different levels have to be exploited - from single core performance up to cluster-wide performance. Furthermore, different techniques and skills have to be used.

Held virtually on October 26-29, 2020 the PRACE course "Tools & Techniques to quickly improve performances of HPC applications in Solid Earth" was developed in the CHEESE framework by CINECA staff to mostly focus on the main HPC issues for Earth Science.

The main objective of the course was to help Solid Earth researchers improve performance and face some important features like urgent computing, hazard assessment and early warning forecast for Exascale supercomputing.

In three full days, the course instructors provided in-depth analysis of all main issues such as:

  • Single core performance
    • vectorization
    • data access
  • Intranode node parallelization
    • Shared Memory optimization (OpenMP)
    • OpenACC (for GPU)
  • inter-node parallelization
    • Message passing optimization (MPI)
    • Putting all together (MPI+OpenMP, MPI+Openacc)
  • I/O issues

The main aspect of the course was to show participants typical problems that they could face when working with HPC systems and in future Exascale supercomputers. They were provided with some possible solutions such as parallel paradigm and the technological solutions. 

In a survey sent after the end of the course, participants said that they would recommend this course to others and that they were satisfied with the training materials and the course instructor, Giorgio Amati.