Introduction to Supercomputing at JSC - Theory & Practice

Course/Event Essentials

Event/Course Start
Event/Course End
Event/Course Format
Mixed
Live (synchronous)

Venue Information

Country: Germany
Venue Details: Click here

Training Content and Scope

Scientific Domain
Level of Instruction
Beginner
Sector of the Target Audience
Research and Academia
HPC Profile of Target Audience
Application Users
Application Developers
Data Scientists
Language of Instruction

Other Information

Organiser
Event/Course Description

Through the John von Neumann Institute for Computing, Research Centre Jülich provides high-performance computing resources to scientific user groups from throughout Germany and Europe and to its industry partners. The aim of this course is to give new users of the supercomputers an introduction to the systems, such that they can make efficient use of their allocated resources.

The course will start with the upload of credentials to the systems before logging in for the first time. We then go on to explain how to navigate the systems and get the user's data and programs in place. By the end, participants will be running their first small computations on the supercomputers.

Theoretical lectures will be held in the afternoon from Monday to Thursday. To turn theory into practice tutorials will be offered in the mornings from Tuesday to Thursday, which cover some of the material from the preceding afternoon.

You can select in the registration form which parts (theoretical or practical) of the course you wish to attend. We strongly suggest that registrants attend both parts.

Topics covered include:

  • User account management with the JuDoor portal
  • System access via SSH, Jupyter, and UNICORE
  • System configuration for JURECA and JUWELS
  • File systems, I/O, and data management
  • Software modules (compilers, MPI, math libraries, applications, debuggers, tools)
  • Building software from source
  • Submitting jobs via the resource manager
  • Using GPUs
  • Performance tuning
  • Visualization