June 23–25, 2026
Messe Stuttgart, Germany

Exhibitor News

17 Jun 2026

White Paper: The EXCELLERAT Best Practice Guide – Introduction and Overview

HLRS - High-Performance Computing Center Stuttgart Hall: 1 Stand: 1292
White Paper: The EXCELLERAT Best Practice Guide – Introduction and Overview
ngineering workflow from pre-processing to simulation, post-processing, result analysis and simulation workflow & result feedback. Source: EXCELLERAT Best Practice Guide.
The EXCELLERAT Best Practice Guide presents practical approaches for executing engineering applications on state-of-the-art HPC systems in preparation for the exascale era. Structured around the typical engineering workflow, it guides users through pre-processing, simulation, post-processing, simulation workflow and result feedback, as well as overarching activities such as performance engineering and co-design. The guide supports knowledge transfer and helps academic and industrial users identify what works, where bottlenecks arise and which methods can improve the efficient use of HPC for engineering R&D.
The EXCELLERAT Best Practice Guide is an outcome of EXCELLERAT, the European Centre of Excellence for Engineering Applications. It was developed to support the use and exploitation of high-performance computing (HPC) and high-performance data analytics (HPDA) in engineering.https://www.excellerat.eu/white-paper-the-excellerat-best-practice-guide/

The guide brings together lessons learned during the first phase of EXCELLERAT and provides practical recommendations for executing engineering applications efficiently on modern HPC systems. Its objective is to help users, application developers and HPC experts prepare engineering workflows for the exascale era.

The document is structured around the typical workflow of scientific computing applications in engineering:

  1. Pre-processing
    This step includes the preparation of input data, model setup, meshing, data transfer to HPC sites, and all actions required before simulation. The guide addresses challenges such as secure and efficient data transfer, preparation of computational grids, and usability for non-HPC experts.
  2. Simulation
    The simulation step focuses on executing engineering codes on large-scale HPC resources. Topics include scalability, adaptive mesh refinement, discretisation methods, domain decomposition, solution strategies for linear systems, load balancing, validation, regression testing and efficient I/O strategies.
  3. Post-processing
    As engineering simulations produce increasingly large volumes of data, post-processing becomes a key challenge. The guide presents best practices for data reduction, compression, high-performance data analytics and visualisation methods to extract knowledge from simulation results.
  4. Simulation workflow and result feedback
    This step covers automated workflow processing, result feedback, uncertainty quantification and methods that support iterative engineering design cycles.
  5. Workflow overarching activities
    The guide also addresses cross-cutting activities that are relevant across the full engineering workflow, including performance engineering, co-design, porting to new architectures and efficient implementation.

The Best Practice Guide supports knowledge transfer by providing practical descriptions of methods, approaches and lessons learned. It helps academic users, application developers and engineering communities identify starting points, understand technical bottlenecks and apply HPC more effectively in research and development.

By sharing these best practices, EXCELLERAT contributes to the uptake of HPC and HPDA as tools for faster, more efficient and more sustainable engineering innovation in Europe.

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