Dear users of LRZ,

 

we would like to point your attention to the following upcoming online courses:

 

Data Analytics, Big Data & AI Training Week

Date: Tuesday, 6 Apr 2021 09:00 – Friday, 9 Apr 2021 17:00 CEST

Fee:  free of charge

Registration Deadline: 1 Apr 2021

Lecturers: Dr. Johannes Albert-von der Gönna (LRZ), Florent Dufour (LRZ),  PD Dr. Juan Durillo Barrionuevo (LRZ), Dr. Martin Ohlerich (LRZ), Severine Habert (Intel), Shailen Sobhee (Intel) and others

Abstract: This course series on Data Analytics, Big Data & AI Training offers the following course modules which build up on each other and can be selected individually during registration depending on the knowledge of the participants.

 

 

Registration: https://app1.edoobox.com/en/LRZ/Online%20Courses/Online%20Course.ed.547518/

 

 

Parallel Programming of High Performance Systems

Date: Tuesday, 13 Apr 2021 09:45 – Thursday, 15 Apr 2021 16:00 CEST

Fee:  0 €– 600 €, thanks to financial support by the Competence Network for Scientific High Performance Computing in Bavaria (KONWIHR), the course is free of charge for students at Bavarian universities and members of Bavarian universities and public research institutes in Bavaria.

Registration Deadline: 30 Mar 2021

Lecturers: Dr.-habil. G. Hager (NHR@FAU), A. Afzal (NHR@FAU), Dr. M. Wittmann (NHR@FAU), Dr. V. Weinberg (LRZ)

Abstract: This course, a collaboration of Erlangen National High Performance Computing Center (NHR@FAU) and LRZ, is targeted at students and scientists with interest in programming modern HPC hardware, specifically the large scale parallel computing systems available in Jülich, Stuttgart and Garching near Munich. Topics covered include:

Registration: https://app1.edoobox.com/en/LRZ/Online%20Courses/Online%20Course.ed.569860/

 

 

Introduction to LRZ HPC Systems with Focus on CFD Workflows

The same course will be offered twice, in April and June 2021:

 

Date 1: Wednesday, 14 Apr 2021, 14:00 – 16:30 CEST

Registration Deadline: 7 Apr 2021

Registration: https://app1.edoobox.com/en/LRZ/Online%20Courses/Online-Kurs.ed.545066/

 

Date 2: Tuesday, 1 June 2021, 14:00 – 17:00 CEST

Registration Deadline: 25 May 2021

Registration: https://app1.edoobox.com/en/LRZ/Online%20Courses/Online%20Course.ed.573523/

 

Fee:  free of charge

Lecturer: Dr.-Ing. habil. Thomas Frank (LRZ) 

Abstract: The focus of this short course is to provide to beginners in High Performance Computing (HPC) and Computational Fluid Dynamics (CFD) a crash course like introduction to the following essential knowledge: Introduction to the LRZ Linux Cluster Systems and computing environment, introduction to a typical user environment on LRZ Linux Cluster systems, Linux terminal access and file transfer tools, usage of the module system, the batch queuing or scheduling system SLURM, introduction to a typical CFD-oriented workflow on the example of ANSYS CFD and StarCCM+, aspects of licensing of commercial CFD software at LRZ.

 

 

Modern C++ Software Design

Date: Tuesday, 21 Apr 2021 10:00 – Thursday, 23 Apr 2021 17:00 CEST

Fee:  30 € – 600 €

Registration Deadline: 7 Apr 2021

Lecturers: 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. Topics covered include

 

 

Registration: https://app1.edoobox.com/en/LRZ/Online%20Courses/Online%20Course.ed.545034/

 

 

Accelerated Computing with OpenACC and Deep Learning

Date: Tuesday, 27 Apr 2021 – Thursday, 29 Apr 2021, 10:00 – 16:00 CEST

Fee:  free of charge

Lecturers: Dr.-habil. Juan Durillo Barrionuevo (LRZ), Dr. Volker Weinberg (LRZ), and Georg Zitzlsberger (IT4Innovations)

 

Abstract: The course combines a lecture about Accelerated Computing with OpenACC with lectures about Fundamentals of Deep Learning for single and for Multi-GPUs. Learn how to accelerate your applications with OpenACC, how to train and deploy a neural network to solve real-world problems, and how to effectively parallelise training of deep neural networks on Multi-GPUs. The course is organised by VSC - Vienna Scientific Cluster in cooperation with LRZ, IT4Innovations (Czechia), and NVIDIA.

 

Registration: https://vsc.ac.at/training/2021/DL/

 

 

Introduction to C++

Date: Monday, 3 May 2021 10:00 – Thursday, 6 May 2021 16:00 CEST

Fee:  35 € – 780 €

Registration Deadline: 19 Apr 2021

Lecturers: Dr. Carla Guillen (LRZ), Dr. Carmen Navarrete (LRZ), Dr. Martin Ohlerich (LRZ)

Abstract: This 4-days online course covers an introduction into the C++ language features (types and data structures, basic key words, flow control structures, templates, ...), some of the paradigm ideas, software development process including program design, project managment, debugging, and more (cmake, doxygen, git, ...).

 

Registration: https://app1.edoobox.com/en/LRZ/Online%20Courses/Online%20Course.ed.566506/

 

 

C for Beginners

Date: Monday, 21 June 2021 10:00 – Wednesday, 23 June 2021 16:00 CEST

Fee:  30 € – 600 €

Registration Deadline: 7 Jun 2021

Lecturers: Dr. Carla Guillen (LRZ), Dr. Carmen Navarrete (LRZ), Dr. Martin Ohlerich (LRZ)

Abstract: This three-day online course gives an introduction to the C programming language. Topics covered include:

Basic concepts, datatypes, operators and basic statements, C-functions, code modularity, compilation, debugging, compiler directives, structures, memory model, pointers, good coding practices.

 

Registration: https://app1.edoobox.com/en/LRZ/Online%20Courses/Online%20Course.ed.570570/

 

 

 

Information on further courses: 

 

 

We are looking forward to meeting you online!

 

Kind regards,

Volker Weinberg

 

--

Dr. Volker Weinberg

Education and Training Coordinator

Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities

 

email:   weinberg@lrz.de

address: Boltzmannstr. 1 - D-85748 Garching bei Muenchen

room:    E.1.016

phone:   +49 (89) 35831-8863