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Training course "Introduction to the Usage of High Performance Systems, Visualisation, Compute Cloud and Grid Facilities" @ LRZ

begin
26.Feb.2015 10:00
end
26.Feb.2015 17:00
venue
LRZ Garching

Science is becoming compute and data driven. LRZ offers broad spectrum of systems and services for scientific computing: SuperMUC, one of the national High-End Systems, provides more than 150,000 compute cores and a peak performance of more 3 PetaFlop/s (3 billion or 3*1015 Floatingpoint Operations per seconds) and will be upgraded to more than 6 PetaFlops. The Linux cluster systems at LRZ have several thousand cores, including two systems with more than 3 TeraByte of shared main memory. However, scientific computing is no longer ot limited to supercomputers. Powerful (remote or immersive) visualization facilities are available to visualise and explore the scientific results of simulations. Disk storage, tape archive and backup have reached the capacity of several PetabByte and parallel filesystems offer huge bandwidths to disks. Cloud computing, virtual machines and grid computing emerge as a new paradigm for managing and delivering services over the web to scientists.

Based on usage examples, an easy-to-follow introduction to the systems, their characteristics and limitations will be given, particullarly:

  • SuperMUC, the 6 PetaFlop/s System at LRZ
  • Linux Cluster: HPC systems for the Munich and Bavarian Universities
  • Filesystems, Data Transfer, Snapshots, Backup, and Archive
  • V2C, the Virtual Reality and Visualisation Centre at LRZ
  • Remote Visualisation
  • Software, Compilers and Programming Environment
  • Cloud, Virtualization und Grid Services at LRZ
  • Documentation, Contacts, Servicedesk
  • How to get access, regulations, project proposal
  • Access to other HPC systems in Germany and Europe
  • The Bavarian Competence Network for Technical and Scientific High Performance Computing: "KONWIHR", Partnership initiatives, Application Labs, offers for collaboration
  • Offers for Attended Hosting, Offers to buy-in into HPC