Julia for High-Performance Computing
This 4-day course introduces the Julia programming language as a modern approach to high-performance numerical computing.
Praktische info:
Inschrijven?
- Voorwaarden: Basic programming/numerical computing experience, basic knowledge of Julia, familiarity with Juptyer notebooks and UNIX/Linux
- Prijs: The price ranges from €0 to €935
Leertraject
Starting from the foundations and characteristic language features (e.g. multiple dispatch, type inference) the course will discuss and demonstrate how Julia manages to deliver high performance while also being high-level and dynamic. It will teach participants the necessary language concepts to achieve high performance in Julia and avoid common pitfalls. The course will cover serial and parallel computing (multithreading, distributed computing, MPI) and will provide insights into how to readily offload computations to NVIDIA GPUs.
Hands-on sessions on each day will allow the participants to interactively explore the language and immediately test and apply the discussed concepts.
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 preliminary detailed schedule can be found here.
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