Difference between revisions of "Lecture HPC Introduction"
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== Overview | == Overview == | ||
The lecture '''Introduction to High-Performance Computing''' (HPC) is aimed at MSc or PhD students who are working on a numerical research topic and plan to use/are already using the local (or other) HPC cluster. The course gives a general introduction to HPC and includes many practical exercises on the local HPC systems. | The lecture '''Introduction to High-Performance Computing''' (HPC) is aimed at MSc or PhD students who are working on a numerical research topic and plan to use/are already using the local (or other) HPC cluster. The course gives a general introduction to HPC and includes many practical exercises on the local HPC systems. | ||
== Topics | == Topics == | ||
The topics of the lecture include: | The topics of the lecture include: | ||
| Line 15: | Line 15: | ||
* Data Storage and Management | * Data Storage and Management | ||
== Organisation | == Organisation == | ||
The lecture is held currently every summer semester. Please go to Stud.IP for more details and course registration: | The lecture is held currently every summer semester. Please go to Stud.IP for more details and course registration: | ||
* [https://elearning.uni-oldenburg.de/seminar_main.php?auswahl=245f380f6274172564139fd03a8355e3 Lecture summer semester 2016] | * [https://elearning.uni-oldenburg.de/seminar_main.php?auswahl=245f380f6274172564139fd03a8355e3 Lecture summer semester 2016] | ||
* [https://elearning.uni-oldenburg.de/seminar_main.php?auswahl=ce79cd96ff5e66b0d4dd7ff5f4661867 Lecture summer semester 2017] | * [https://elearning.uni-oldenburg.de/seminar_main.php?auswahl=ce79cd96ff5e66b0d4dd7ff5f4661867 Lecture summer semester 2017] | ||
Currently, no credit points (KP) can be earned with this course. This may change in the future. | |||
== Literature == | |||
will follow | |||
Revision as of 11:02, 3 March 2017
Overview
The lecture Introduction to High-Performance Computing (HPC) is aimed at MSc or PhD students who are working on a numerical research topic and plan to use/are already using the local (or other) HPC cluster. The course gives a general introduction to HPC and includes many practical exercises on the local HPC systems.
Topics
The topics of the lecture include:
- Using HPC Clusters
- Parallel Programming Models
- Introduction to MPI
- Introduction to OpenMP
- Using Matlab Distributed Compute Server (MDCS)
- GPU Computing
- Data Storage and Management
Organisation
The lecture is held currently every summer semester. Please go to Stud.IP for more details and course registration:
Currently, no credit points (KP) can be earned with this course. This may change in the future.
Literature
will follow
