This course is targeted at researchers with basic knowledge in numerical simulation, who would like to learn how to visualize their simulation results on the desktop but also in Augmented Reality and Virtual Environments. The two-day workshop gives a short overview over scientific visualization in general, followed by a hands-on introduction to 3D desktop visualization with VISTLE (webpage on the EXCELLERAT P2 service portal) and COVISE. Participants will further learn how to build interactive 3D Models for Virtual Environments and how to set up an Augmented Reality visualization.   Language: English   Entry level: Basic   Location:  HLRS, University of Stuttgart Nobelstraße 19 70569 Stuttgart, Germany Room 0.439 / Rühle Saal Location and nearby accommodations

Distributed memory parallelization with the Message Passing Interface MPI (Mon, for beginners): On clusters and distributed memory architectures, parallel programming with the Message Passing Interface (MPI) is the dominating programming model. The course gives an introduction into MPI-1. Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the basic constructs of the Message Passing Interface (MPI). Shared memory parallelization with OpenMP (Tue, for beginners): The focus is on shared memory parallelization with OpenMP, the key concept on hyper-threading, dual-core, multi-core, shared memory, and ccNUMA platforms. This course teaches shared memory OpenMP parallelization. Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the directives and other interfaces of OpenMP. Race-condition debugging tools are also presented. Intermediate and advanced topics in parallel programming (Wed-Fri): Topics are advanced usage of communicators and virtual topologies, one-sided communication, derived datatypes,  MPI-2 parallel file I/O, hybrid mixed model MPI+OpenMP parallelization, parallelization of explicit and implicit solvers and of particle based applications, parallel numerics and libraries, and parallelization with PETSc. MPI-3.0 introduced a new shared memory programming interface, which can be combined with MPI message passing and remote memory access on the cluster interconnect. It can be used for direct neighbor accesses similar to OpenMP or for direct halo copies, and enables new hybrid programming models. These models are compared in the hybrid mixed model MPI+OpenMP parallelization session with various hybrid MPI+OpenMP approaches and pure MPI. Further aspects are domain decomposition, load balancing, and debugging.   Location HLRS, University of Stuttgart Nobelstraße 19 70569 Stuttgart, Germany Room 0.439 / Rühle Saal Location and nearby accommodations   Course subject areas Parallel Programming Topics MPI OpenMP     Prerequisites and content levels Prerequisites          Unix / C or Fortran (or Python for the MPI part)   Content levels Basic: 14 hours Intermediate: 12 hours Advanced: 10:30 hours Community: 0:45 hours Learn more about course curricula and content levels.   Instructors Dr. Rolf Rabenseifner and Prof. Dr.-Ing. Rainer Keller.   Learning outcomes Please refer to the course overview. This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.   Agenda All times are local times in the Central European Summer Time zone (Berlin). See link to detailed program (preliminary program)   Handouts Most MPI exercises are (in addition to C and Fortran) also available for Python+mpi4py+numpy.   HLRS concept for on-site courses Besides the content of the training itself, another important aspect of this event is the scientific exchange among the participants. We try to facilitate such communication by a social event on the evening of the first course day, offering common coffee and lunch breaks and working together in groups of two during the exercises. Please be informed that recomendations according to the Occupational Safety and Health Measures of the University of Stuttgart at the time of event and additional rules might be applied.    Registration information Register via the button at the top of this page, which will appear soon. Registration closes on September 8, 2023.   Fees Students without master’s degree or equivalent: 40 Euro PhD students or employees at a German university or public research institute: 90 Euro PhD students or employees at a university or public research institute in an EU, EU-associated or PRACE country other than Germany: 180 Euro PhD students or employees at a university or public research institute outside of EU, EU-associated or PRACE countries: 360 Euro Other participants, e.g., from industry, other public service providers, or government: 960 Euro Link to the EU and EU-associated (Horizon Europe), and PRACE countries. Our course fees include coffee breaks (in classroom courses only).   Train the Trainer - TtT In conjunction with this course, a Train the Trainer Program is provided. Whereas this regular course teaches parallel programming, the Train the Trainer Program is an education for future trainers in parallel programming. For further details, see here.   HLRS Training Collaborations in HPC HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC. This course is provided within the framework of the bwHPC training program.   Official course URL(s) https://www.hlrs.de/training/2023/PAR and http://www.hlrs.de/training/2023/TtT   Further courses See the training overview and the Supercomputing Academy pages.

  Das Steinbuch Centre for Computing lädt Sie herzlich am 16. Oktober 2023 zum Einführungskurs "Hochleistungsrechnen (HPC) und Datenmanagement" ein. Die Veranstaltung richtet sich an alle (zukünftigen) Nutzer der bwHPC-Cluster (bwUniCluster 2.0, bwForCluster), BaWü-Datenföderation sowie der NHR@KIT-Infrastruktur inkl. HoreKa und umfasst allgemeine Informationen über Zugang und Nutzung der Cluster und Speichersysteme. Die Präsenzveranstaltung kombiniert Vorträge mit Tutorien und richtet sich an Einsteiger. Es fallen keine Teilnahmegebühren an.   The Steinbuch Centre for Computing is hosting on October 16, 2023, the introductory course: "High Performance Computing (HPC) and Data Management". This course is aimed at (future) users of the bwHPC clusters (bwUniCluster 2.0, bwForClusters), BaWü data federation, NHR@KIT infrastructure incl. HoreKa and covers information about access and usage of bwHPC clusters, NHR@KIT infrastructure and storage systems. The event combines talks and tutorials, and addresses beginners. The course is free of charge and will take place on-site.