Organisations and smaller industry partners today face various problems in dealing with high performance computing (HPC) computations, HPC in general, or even access to HPC resources. Hence, the EXCELLERAT Data Management Service develops best practices and provides support for managing the large amounts of data generated and used in technical HPC applications.
High-performance scientific software must overcome two specific challenges: scientific validation, and performance on bleeding-edge and short-lived hardware. Success in each requires time, expertise, and cumulative experience over many failed attempts. Thus, engineering software developers are mostly experts in physical modelling or in high-performance computing (HPC) and rarely experts in the management of technical debt.
In collaboration with experts from Horizon Results Booster (HRB), EXCELLERAT has completed its first internal Exploitation Strategy Seminar for three selected Key Exploitable Results (KERs): Vistle, Alya and UQit. After an introduction by Dr. Péter Mogyorósi, the HRB expert, partners presented and discussed each KER and its exploitation strategy with HRB experts.
European growth is unthinkable without its 23 million small and medium-sized enterprises (SMEs). Representing 99.8 percent of European companies, they form the foundation for innovation, competition, and jobs. It’s important to support these SMEs in sustainable development through innovation, processes optimisation, and increased competitiveness: e.g. through the software and data processing support of HPC.
Versioning of large research software applications for industry can be sloppy because audiences have different needs. End-users require a clear official version, while research asks for many exploratory versions.
Born in the 1990s, AVBP is combustion software used and developed today by dozens of industrial users and researchers simultaneously. This post will consider whether it is suitable for a semantic versioning strategy.
Success Story: Accelerating engineering codes using reconfigurable architectures Success story # Highlights: Keywords: FPGA testbed Memory-bound code Dataflow Industry sector: code development Key codes used: Nekbone, Nek5000, Alya Organisation involved: Edinburgh Parallel Computing Centre at the University of Edinburgh has been founded in 1990 and has for objective to accelerate the effective exploitation of novel […]
From 8 to 9 June 2021, we held our 3rd virtual project meeting of the continuing pandemic. Over 30 partner representatives on each day presented the EXCELLERAT project tasks’ good progress, some early 2021 challenges, and the needs for a continuous evolution to master the final project months (including its three month extension).
Success Story: Enabling High Performance Computing for Industry through a Data Exchange & Workflow Portal
Success Story: Enabling High Performance Computing for Industry through a Data Exchange & Workflow Portal Success story # Highlights: Keywords: Data Transfer Data Management Data Reduction Automatisation, Simplification Dynamic Load Balancing Dynamic Mode Decomposition Data Analytics combustor design Industry sector: Aeronautics Key codes used: Alya Importance of an intelligent data transfer Organisations & Codes Involved: […]
Success Story: Bringing industrial end-users to Exascale computing : An industrial level combustion design tool on 128K cores
Success Story: Bringing industrial end-users to Exascale computing: An industrial level combustion design tool on 128K cores Success story # Highlights: Exascale Industry sector: Aerospace Key codes used: AVBP Strong scaling for turbulent channel (tri) and rocket engine simulations (circle). Performance (symbols) versus ideal (line) acceleration. Organisations & Codes Involved: CERFACS is a theoretical and […]
EXCELLERAT’s latest workshop dealt with data analysis for engineering data, particularly simulation data. Partners from Fraunhofer SCAI conducted this one-day online training course with sessions dedicated to the topics of Clustering, Dimensionality Reduction, Pre-processing of Simulation Data, and two hands-on tutorials with exemplary use-cases from car crash analysis and aeroacoustics.