Introduction to Parallel Computing
What is parallel computing, which pitfalls and bottlenecks may we encounter, and how can you we parallelize a computational problem?
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Event details
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- Types of event
- Workshop
- Venue
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Ernst-Abbe-Platz 2, Linux pool 2 (room 3410)
07743 Jena
Google Maps site planExternal link - Language of the event
- English
- Event website
- Learn moreExternal link
- Wheelchair access
- Yes
- Public
- Yes
- Registration required
- Yes
High-performance computing (HPC) implies parallel computing. In this workshop, we build on our First Hands-on Experience on a HPC ClusterExternal link and learn what parallel computing is, which pitfalls and bottlenecks one may encounter, and how you we can parallelize a computational problem.
We will start by motivating the need for high-performance computing and describing what we mean by parallel computing. We will look into the theoretical limits of parallel scalability with Amdahl’s law and Gustavson’s law and explore those limits for a real-world application.
Finally, we will learn how we can code parallel algorithms by first understanding the kinds of parallelism modern compute hardware offers and second by exploring the programming interfaces that we can use to leverage that parallelism.
For the practical parts, we will use the university cluster “Draco”. If you do not yet have access to the cluster, please apply for it via our Service-DeskExternal link. Please provide your alphanumeric university login.
Please note that is workshop does by no means offer a comprehensive introduction to parallel programming. Although we are also writing a parallelised program here, we can only provide a first glimpse into the topic.
This workshop is held in person, online particiaption is not possible. The course is taught in English.
You can enrolExternal link for this workshop at the University's Qualifications Portal.