Complementing the gaps in current HE courses and taking up high performance computing (HPC) knowledge for future science, technology, engineering and mathematics (STEM) professionals.
We aim to establish international cooperation and exchange of knowledge between acknowledged professionals in the field of High-performance computing (HPC). Usage of HPC, presenting nowadays the prospective field of business professionals, is one of the main accelerators of modern science and has certainly the ability to expand future-driven EU potential. A great deal of the most popular software tools that researchers are using nowadays is not developed to exploit the tremendous possibilities of HPC. Therefore, researchers must often start by learning the appropriate programming tools before they start using HPC. We strive to remove these obstacles through the gathering of necessary knowledge and testing it in the form of trainings of participants that will address their individual difficulties when using HPC.
Gain skills that present a knowledge gap in current HE system, enabling future competitiveness in the fields of Engineering and Data Science.
Gain skills needed for conducting courses with HPC. Raising level of competences in theoretical, programming, mathematical and teaching skills.
For business experts
Gain skills needed for professional growth and competitiveness in the fields of Engineering and Data Science with introduction of HPC.
For future HPC HE courses
Creation of a comprehensive set of learning and teaching material, which will embrace the field of HPC in Engineering and Data Science.
What is HPC?
HPC as a tool of tommorow
Our training weeks
HPC in Engineering focus on FEM (Finite Element Method)June 28, 2021Apply to enroll
HPC in Data Science: Introduction to Parallel ProgrammingJanuary 31, 2022FREE
HPC in Engineering: focus on CFD (Computational Fluid Dynamics)September 12, 2022FREE
HPC in Data Science: focus on Big Data and AIJune 26, 2023FREE
The formed training program will be presented on multiplier events to promote and share the outputs among the leading experts in the field of engineering, mathematics, computer and other HPC- relevant education fields.
After each knowledge topic has been explored a knowledge base will be set. Fur further information and availability of the material you can contact the SCtrain partners.
FEM and FVM: From van Karman to Magnus
Similarities, differences, and advantages of discretization techniques like Finite Element and Finite Volume approximation. From van Karman to Magnus with …PRIVATE
Meshing 2D and convergence study
Meshing concepts and possibilities. Modelling and meshing a 2D U-channel. Workflow in Ansys to setup and how to perform a …PRIVATE
Hands-on with OpenFOAM
CFD modelling of a circular cylinder in cross flow: physical problem definition, domain meshing, equations solving, convergence monitoring, data post-processing …PRIVATE
Finite Volume Discretization Techniques of Differential Operators
Finite Volume discretization techniques of gradient, divergence (or convection) and diffusion Differential Operators. Finite Volume Discretization Techniques of Differential Operators …PRIVATE
Introduction to the Finite Volume method
Finite Volume approximation of the Navier-Stokes equations. Numerical solution of the Navier-Stokes equations: the SIMPLE and PISO algorithms. Introduction to …PRIVATE
Introduction to Turbulence Modeling
Description of the most common mathematical models to predict the effect of turbulence. Introduction to Turbulence Modeling pdfPRIVATE
Introduction to Continuum Fluid Mechanics
Introduction to continuum fluid mechanics and derivation of the Navier-Stokes equations for incompressible and compressible flow. Transient and steady-state approximation. …PRIVATE
Introduction to High-Performance Computing
Presentation of the state of the art of HPC infrastructures and its components. Navigating a typical Linux-based HPC environment and …PRIVATE
Introduction to parallel computation
A short overview of the parallel architecture, used in HPC clusters. Parallel_computation_introduction pdf Parallel_computation_introduction mp4PRIVATE
Parallel Deep Learning: Tensorflow and Keras
Presented topics: Tensorflow and Keras; Parallelism; Horovod; Data Pipeline; Tensorflow Dataset Recommendations; Demonstration of Multi-node/-GPU Examples using Tensorflow; Singularities. Data …PRIVATE
Additional events, offered by the project partners in the field of HPC training.