Parallel Programming of High Performance Systems

Date: Monday, March 09 - Friday, March 13, 2015, 9:00-18:00
Location:

LRZ Building, University campus Garching, near Munich. Via video conference at RRZE Erlangen if there is sufficient interest.
Contents: This course, a collaboration of Erlangen Regional Computing Centre (RRZE) 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 Munich.

Each day is comprised of approximately 4 hours of lectures and 3 hours of hands-on sessions.

Day 1

  • Introduction to High Performance Computing (Weinberg)
  • Secure shell (Weinberg)
  • Source code versioning with SVN (Guillen)
  • Handling console and GUI based interfaces (Weinberg)
  • Building programs with GNU MAKE (Guillen)

Day 2

  • Basic parallel programming models: elements of MPI and OpenMP (Weinberg)
  • Processor architectures (Hager)

Day 3

  • Principles of code optimization: unrolling, blocking, dependencies, C++ issues, bandwidth issues, performance projections (Hager)
  • Basics of software engineering (Guillen)
  • Advanced MPI programming (Wittmann)

Day 4

  • Advanced OpenMP programming (Weinberg)
  • Performance Libraries (Weinberg)
  • Parallel architectures: multi-core, multi-socket, ccNUMA, cache coherence and affinity, tools for handling memory affinity (Hager)
  • Parallel algorithms: data parallelism, domain decomposition, task parallelism, master-worker, granularity, load balancing, scalability models (Hager)

Day 5

  • Intel tools: OpenMP performance and correctness (Wittmann)
  • Intel tools: MPI tracing and Checking (Karmakar)
  • Performance analysis with Scalasca (Karmakar)
  • Intel VTune (Karakasis)
Prerequisites Good working knowledge of at least one of the standard HPC languages: Fortran 95, C or C++.
Language: English
Teachers: G. Hager, M. Wittmann (RRZE), C. Guillen, V. Karakasis, A. Karmakar, V. Weinberg (LRZ)
Registration: Will soon be available via the LRZ registration form (Please choose course HPAR1W14)