HPC Introduction 09/2019

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Introduction to HPC at the University Oldenburg

Description

This 3-day course is aimed at HPC beginners as well as experienced users who wish to learn about HPC and the use of the local clusters CARL and EDDY. The course will cover the following topics:

  • General Introduction to HPC and the use of CARL and EDDY
  • Introduction to the Job Scheduler SLURM
  • Programming in an HPC Environment
  • Introduction to Parallel Programming (MPI, OpenMP, OpenACC)
  • Introduction to Matlab Distributed Compute Server (MDCS)

The course will consist of lectures and hands-on practical part. Special topics may be covered if requested.

Date, Time and Registration

The course will be held by Stefan Harfst and Wilke Trei:

  • Date: September 17 – 19, 2019
  • Time: 10:00 to 17:00
  • Room: W1 0-008

The schedule for the course can be found here soon.

We kindly ask you to register for the course in Stud.IP (look for course No. 5.04.1037 in case the link does not work). If you have problems please send us an e-mail.

Lecture Slides and Materials

Day 1 - Tuesday, September 17th

  • Session 1: Introduction to High-Performance Computing (10:15-11:15am)
  • Session 2: Basic HPC Clusters Usage (11:30-13:00pm)
    • lecture slides [pdf]
    • example: SLURM HelloWorld [tgz]
  • Session 3: HPC Cluster Environment (13:45-17:00pm)
    • lecture slides [pdf]
    • example: RandomWalk [tgz]
    • example: Matrix-Matrix Multiplication [tgz]
    • example: Array Job [tgz]

Day 2 - Wednesday, September 18th

  • Session 4: Introduction to Parallel Computing (10:15-11:15am)
  • Session 5: Introduction to OpenMP (11:30-13:00pm)
  • Session 6: Introduction to OpenMP (13:45-15:15pm)
    • lecture slides [pdf]
    • example: Work Sharing Directives [tgz]
    • example: Parallizing Program Random [tgz]
    • excercise: Pi Calculation Exercise [tgz]
    • example: Pi Calculation Exercise Solution [tgz]
  • Session 7: Performance Optimization (15:30-17:00pm)

Day 3 - Thursday, September 19th

  • Session 8: Introduction to MDCS (10:15-16:00pm)
    • lecture slides [pdf]
    • SPMD example: Noise Reduction [zip]
    • SPMD example: Contrast Adjustment [zip]
    • heat exercise [zip]