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Optimizing Wind

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Fusion Energy with Exascale

About EoCoE

EoCoE is a EuroHPC Centre of Excellence contributing to Europe transition tosustainable energy through High Performance Computing. In its third phase, the project harnesses exascale tech-nologies, massively parallel simulations, and advanced computational methods to tackle some of the most pressing challenges in renewable energy.

At the heart of EoCoE are five lighthouse applications spanning four strategic domains: fusion, photovoltaics, water, and wind energy.

By enhancing these applications, making them exascale ready, and developing and optimising the
underlying software tools and mathematical libraries, the project contributes to both
the green energy transition and the advancement of scientific computing
methodologies in Europe.

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About Eocoe

Fostering the European Energy Transition with Exascale

EoCoE brings together European expertise in high-performance computing and energy research to develop scalable applications, advanced scientific software and innovative solutions for the energy transition.

Our Mission

Accelerate energy research through advanced HPC technologies and scientific collaboration.

Our Vision

Build a sustainable energy future powered by Exascale computing and European innovation.

Exascale technologies for energy applications

Technical Challenges

EoCoE applies Exascale technologies to four scientific challenges in the energy sector.

Programming Models

Optimising advanced scientific codes for performance, scalability and portability across next-generation HPC architectures.

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Scalable Solvers

Developing scalable linear algebra solvers to accelerate large-scale scientific simulations on Exascale systems.

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I/O & Data Flow

Improving data access, I/O performance and resilience for large-scale scientific simulations and Exascale applications.

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Ensemble Runs

Enabling large-scale ensemble simulations with elastic, resilient and efficient workflows for energy applications.

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Exascale technologies for energy applications

Codes

Advanced HPC technologies and computational methods developed to prepare scientific applications for next-generation Exascale systems.

Fusion

Rewriting GYSELA code in modern C++ with X-point for exascale ITER core-edge turbulence simulations.

Development of Gyselalib++, a modular C++ kokkos-based library for kinetic and gyrokinetic equations.

Main characteristics:
  • Open-source, Git-Hub CI, Doxygen documentation.
  • Contains the minimal kernels for Gysela-Axi development.

Simplifies the construction of the 5D

Good portability performance.

Scalable up to 256 GPUs.

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Materials

Development of the code libNEGF in Julia lang:

  • Defined abstract data-structure for GF.
  • Development of parallel RGF for Dyson and Keldysh.
  • libNEGF compiled and tested on different platforms.
Main characteristics:
  • CI/CD within JSC gitLab.
  • Continuous benchmarking with JUBE.
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Wind

SOD2D

Development of a Fully GPU-Based CFD Code: SOD2D.

Excellent scalability up to 2048 H100 GPUs @ MN5.

5 times more energy efficient on the GPU than on CPU.


waLBerla-wind

Implementation of new features on the code waLBerla-wind: static and “adaptive” mesh refinement and load balancing, reduction of memory footprint.

Porting to AMD GPUs.


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Water

Optimization of ParFlow’s performance portability demonstrated across architectures.

ParFlow achieved a performance of 200 Petaflops while running on LUMI.

Improvement of (non-)linear solver and preconditioner technologies.

Parallel efficiency of 95% up to 484 nodes on Lumi and up to 816 nodes on JUPITER.

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Scientific Publications

Discover the scientific research and results produced by EoCoE across HPC, energy and computational science.

EoCoE-III Publications

Explore the scientific publications produced during the second phase of the EoCoE project.

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People of EoCoE

Collaborations

EoCoE actively collaborates with other European Centres of Excellence and other organizations to strengthen the HPC ecosystem, share expertise and advance sustainable energy computing.

HIDALGO develops novel methods, algorithms and software for HPC and HPDA to accurately model and simulate the complex processes, which arise in connection with major global challenges.

In the frame of this collaboration, HIDALGO and ECoE share contributions to workshops, training activities, and information exchanges.

MaX, Materials design at the eXascale, is a European Centre of Excellence in materials modelling, simulations and design.

MaX and EoCoE have signed an agreement to set up a collaboration related to their common research interest in the fields of materials science for energy applications.

The collaboration entails the development of routines and test cases of common interest, and the organization of and cross-participation to scientific and training events.

PoP provides performance optimisation and productivity services for academic and industrial code(s) in all domains. In the frame of this collaboration, PoP and ECoE established a continuous performance monitoring framework for lighthouse applications. This framework provides in-depth analysis of computational efficiency, ensuring codes are optimized for evolving HPC architectures.

CASTIEL 2 provides a unifying platform connecting CoEs and NCCs, facilitating structured exchanges, joint events, and dissemination. Through CASTIEL, EoCoE-III benefits from well-organized collaboration channels, visibility in communication outlets, and the opportunity to expand its partner network.

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Explore EoCoE through our video content

Discover presentations, interviews, workshops, scientific events and other activities showcasing the research, collaborations and achievements of the European Centre of Excellence in Energy.

At the crossroads of the energy and digital revolutions, EoCoE develops and applies cutting-edge computational methods in its mission to accelerate the transition to the production, storage and management of clean, decarbonized energy.


EoCoE offers a network of experts in HPC and sustainable energies to design powerful numerical simulations with unprecedented accuracy and performance.

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