Dear users of LRZ, We would like to inform you that there are still some free places for the very popular course "Modern C++ Software Design" by Klaus Iglberger, which will be delievered online this year: 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://events.prace-ri.eu/event/1077/ (Deadline: 4 Nov 2020) For those of you who are interested in current processor architectures, the following event hosted by our partners at the Erlangen Regional Computing Center may be of interest. Attendance is free for everyone. The A64FX processor: Understanding streaming kernels and sparse matrix-vector multiplication Date: Wednesday, November 18, 10:00 - 11:15 CET Speakers: Christie L. Alappat, Erlangen Regional Computing Center (RRZE), PhD student in the group of Prof. G. Wellein, Dr. Georg Hager, Erlangen Regional Computing Center (RRZE), Senior researcher in the HPC division at RRZE Abstract: The A64FX CPU powers the current #1 supercomputer on the Top500 list. Although it is a traditional cache-based multicore processor, its peak performance and memory bandwidth rival accelerator devices. Generating efficient code for such a new architecture requires a good understanding of its performance features. Using these features, the Erlangen Regional Computing Center (RRZE) team will detail how they construct the Execution-Cache-Memory (ECM) performance model for the A64FX processor in the FX700 supercomputer and validate it using streaming loops. They will describe how the machine model points to peculiarities in the microarchitecture to keep in mind when optimizing applications, and how, applying the ECM model to sparse matrix-vector multiplication (SpMV), they motivate why the CRS matrix storage format is inappropriate and how the SELL-C-sigma format can achieve bandwidth saturation for SpMV. In this context, they will also look into some code optimization strategies that are relevant for A64FX and compare SpMV performance with AMD Rome, Intel Cascade Lake and NVIDIA V100. Registration: https://attendee.gotowebinar.com/register/3926945771611115789 Further upcoming online courses organised by LRZ: 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 Lecturers: 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) Introduction to LRZ HPC Systems with Focus on CFD Workflows Date: 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/2020-12-09_hcfd3w20/ (Deadline: 25 Nov 2020) PRACE Course: OpenMP Programming Workshop Date: Wednesday, February 17, 2021, 10:00 - Friday, February 19, 2021, 16:00 CET (tbc.) Lecturers: Dr.-Ing. Michael Klemm (OpenMP ARB), Dr. Christian Terboven (RWTH Aachen University) Abstract: This workshop will cover a wide range of topics, reaching from the basics of OpenMP programming using the "OpenMP Common Core" to really advanced topics like tasking, performance optimisation, offloading to accelerators and tools support. During each day lectures will be mixed with hands-on sessions. Registration: https://events.prace-ri.eu/event/1084/ (Registration will open, soon. Deadline: 3 Feb 2021) Information on further HPC courses: * by LRZ: http://www.lrz.de/services/compute/courses/ * by the Gauss Centre of Supercomputing (GCS): http://www.gauss-centre.eu/training * by German Centres (collected by the Gauß-Allianz): https://hpc-calendar.gauss-allianz.de/ * by the Partnership for Advanced Computing in Europe (PRACE): http://www.training.prace-ri.eu/ 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<mailto:weinberg@lrz.de> address: Boltzmannstr. 1 - D-85748 Garching bei Muenchen room: E.1.016 phone: +49 (89) 35831-8863