Upcoming Online Courses and Workshops by LRZ

Introduction to LRZ HPC Systems with Focus on CFD Workflows

Date: Wednesday, October 7, 2020, 14:00-16:30 CEST & Wednesday, December 9, 2020, 14:00-16:30 CET
Lecturer: Dr.-Ing. habil. Thomas Frank (LRZ)

Abstract: The focus of these more frequently repeated short courses is to provide for beginners in High Performance Computing (HPC) and Computational Fluid Dynamics (CFD) a crash course like introduction to the LRZ HPC systems (SuperMUC-NG, Linux Clusters), the required tools, the module system, the SLURM scheduler and last but not least to a typical CFD-oriented workflow in a HPC environment on the examples of ANSYS CFX, ANSYS Fluent and StarCCM+.

Registration:

https://www.lrz.de/services/compute/courses/2020-10-07_hcfd1w20/ (Deadline: 4 Oct 2020)

https://www.lrz.de/services/compute/courses/2020-12-09_hcfd3w20/ (Deadline: 25 Nov 2020)

 

Introduction to ANSYS Fluid Dynamics on LRZ HPC Systems

Date:  Monday, October 12 - Monday, December 14, 2020, every Monday from 10:00-12:00 and from 14:00-16:00 CET
Lecturer: Dr.-Ing. habil. Thomas Frank (LRZ), Dr. Nisarg Patel (LRZ)

Abstract: The focus of this course with its 20 lectures and about 10 practical exercises is targeted on students, PhD's and researchers with good knowledge in the fundamentals of fluid mechanics and potentially with some first experience in Computational Fluid Dynamics (CFD). The course will focus on the introduction to the ANSYS Fluid Dynamics software packages, i.e. ANSYS CFX and ANSYS Fluent. Further, participants will be familiarised with the main steps of the typical CFD workflow, in particular with CFD preprocessing / CFD setup creation, serial and parallel solver execution and CFD post-processing in both CFD solver systems CFX and Fluent. Correctness of boundary conditions and CFD setup specifications, solver convergence control, solver monitoring, customization capabilities of the solvers and the post-processing as well as recommended CFD best practices are covered.

Registration: https://www.lrz.de/services/compute/courses/2020-10-12_hcfd2w20/ (Deadline: 8 Oct 2020)

 

Modern C++ Software Design

Date:  Wednesday, November 18 - Friday, November 20, 2020,  10:00 - 17:00 CET
Lecturer: Klaus Iglberger

Abstract: This advanced C++ online training is a course on object-oriented (OO) software design with the C++ programming language. The focus of the training are the essential OO and C++ software development principles, concepts, idioms, and best practices, which enable programmers to create professional, high-quality code.

Registration: https://www.lrz.de/services/compute/courses/2020-11-18_hcpa1w20/ (Registration will open, soon. Deadline: 4 Nov 2020)

 

Molecular Modelling with Schrödinger-Suite Workshop

Date: Wednesday, December 2 - Thursday, December 3, 2020, 10:00 - 15:00 CET

Lecturer: Schrödinger software experts 

Abstract: The Schrödinger drug discovery platform encompasses solutions for predictive physics-based modelling, machine learning, data analytics, and collaboration. Through hands-on exercises and interactive presentations, we will work together with the attendees on industrial-level computational modelling tasks in the fields of chemical & biological molecular design. During this workshop, we will also give an overview and hands-on training on the Schrödinger Materials Science Suite. We will particularly focus on efficient structure generation, automated workflows and property-oriented analysis tools, which are important to overcome challenges towards wider application of computational tools in the rational design of new materials in industry. We will discuss simulation approaches for different length and time scales, including quantum mechanics and molecular dynamics, as well as machine learning.

Registration: https://www.lrz.de/services/compute/courses/2020-12-02_hmms1w20/

 

PRACE Course: Node-Level Performance Engineering

Date: Wednesday, December 2 - Friday, December 4, 2020,  09:00 - 16:00 CET
Lecturer: Prof. Gerhard Wellein, Dr. habil. Georg Hager (RRZE, Uni. Erlangen)

Abstract: This online course covers performance engineering approaches on the compute node level. Even application developers who are fluent in OpenMP and MPI often lack a good grasp of how much performance could at best be achieved by their code. This course conveys the required knowledge to develop a thorough understanding of the interactions between software and hardware. This process must start at the core, socket, and node level, where the code gets executed that does the actual computational work.

 

Registration: https://events.prace-ri.eu/event/1052/ (Deadline 18 Nov 2020)

 

Information on further HPC courses:

 

We are looking forward to meeting you online!


Verfasser: Dr. Volker Weinberg
veröffentlicht: 2020-10-01