Höchstleistungsrechenzentrum Stuttgart: Julia for High-Performance Computing

Prerequisites and content levels

Prerequisites

Basic programming / numerical computing experience in any language (e.g. Julia, Python, Fortran, C++) is required.
Basic knowledge of Julia is advantageous.
Familiarity with Juptyer notebooks and UNIX/Linux (esp. basic terminal usage) is highly recommended.
Elementary understanding of computer architecture is a plus.

Content levels

Basic: 7 hours
Intermediate: 11 hours
Advanced: 5 hours

Learn more about course curricula and content levels.

Instructor

Dr. Carsten Bauer (Paderborn Center for Parallel Computing)

Learning outcomes

After this course, participants will:

have a basic understanding of Julia’s fundamental design and its compilation pipeline
know how to write efficient, serial Julia and avoid typical pitfalls
know how to profile and benchmark code performance
be able to parallelize Julia using multithreading, distributed computing and GPU acceleration
be familiar with common (remote) development workflows

Agenda

Local registration starts on first course day at 8:30.

The course runs from Tuesday to Friday. Days start at 9 AM and end at 5 PM (earlier end on Friday).
On the first evening there will be a social event (Stuttgart city tour + dinner). A detailed schedule will
follow.
Among others, the following topics will be covered in the course:

• Julia fundamentals

Julia’s type system and multiple dispatch paradigm
Code specialization and compilation
Development workflow (for HPC clusters)

• Performance programming

Type (in-)stability
Memory usage optimization
Instruction-level parallelism
Profiling

• Parallelization

Task-based multithreading
Basic GPU acceleration
Distributed computing (Distributed.jl and MPI.jl)

Course material

Slides, agenda and Jupyter notebooks will be available for all participants on GitHub in time before the course.

Registration-information

Register via the button at the top of this page.
We encourage you to register to the waiting list if the course is full. Places might become available.

Registration closes on August 25, 2024 (extended registration phase).

Fees

Students without master’s degree or equivalent: 35 Euro
PhD students or employees at a German university or public research institute: 75 Euro
PhD students or employees at a university or public research institute in an EU, EU-associated or PRACE country other than Germany: 150 Euro
PhD students or employees at a university or public research institute outside of EU, EU-associated or PRACE countries: 300 Euro
Other participants, e.g., from industry, other public service providers, or government: 780 Euro

Link to the EU and EU-associated (Horizon Europe), and PRACE countries.

Our course fees include coffee breaks (in classroom courses only).

HLRS concept for on-site courses

Besides the content of the training itself, an 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.

Lunch Breaks

We plan to have lunch in the unversity's canteen (Mensa Stuttgart-Vaihingen, have a look at their menu online). Two other near possibilities for lunch are on all days:

A food truck from 11:00-14:00 in Allmandring 35, approximately 300 m from HLRS,
Bakery Sehne, near bus stop "Im Lauchhau", approximately 400 m from HLRS.

We will update this information if opening times etc. change and inform you more precisely before the course starts.

Contact

Lucienne Dettki, phone 0711 685 63894, dettki(at)hlrs.de
training(at)hlrs.de

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.

Further courses

See the training overview and the Supercomputing Academy pages.