Compute clusters and supercomputers provide the computing power needed to perform many calculations simultaneously, making analyses feasible that would otherwise be too large for a personal computer. In this course, you will be introduced to supercomputing on the national supercomputer Snellius. You will learn how to use tools that enable efficient use of a supercomputing system, such as Slurm scheduling, parallel processing techniques, and high-performance machine learning workflows.
High Performance Computing (HPC) Course
Course Description
Course content
In this course, you will learn about tools and workflows that can help you manage big data and computationally intensive tasks in your research. The presentations and hands-on workshops are aimed at PhD-level students who want to get started with high-performance computing (HPC). Real-world examples will be used throughout the course. You will learn how to use Linux on a supercomputer to deploy computationally demanding tasks. Additionally, you will have the opportunity to learn from fellow researchers, domain experts, and technical specialists. By the end of the course, you will have a broader and deeper understanding of HPC and know how to apply various techniques to use an HPC system efficiently and effectively.
For more information on the course workshop’ subjects, please click the apply button above. Workshops may also include guest lectures from academia or the industry. Please note that for some workshops, the available spots are limited.
Study Characteristics
- Teacher: Various lecturers from VU, SURF, EuroCC and Industry.
- Language: English
- ECTS: 3
- Discipline: Computational Science (e.g., life sciences, genomics, finance, climate modeling, and related domains)
- Self paced: no
- In class/online: in class
- Academic skill: Research
- Available to: First PhD students VU | Academic staff VU | All VU employees
- Min. number of students: 8 (may vary based on workshop location)
- Max. number of students: 30 (may vary based on workshop location)
- Total course duration in hrs.: 24
- Number of lessons: 6
- Anticipated hrs. of study: 12
- Sign up period: January-February
- Concluding assessment: no
- With certificate: yes
- For questions or additional information about this course:
IT for Research: Itvo.it@vu.nl
Wiebe Timmers: w.j.r.timmers@vu.nl
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HPC Course
Course Description
Course content
In this course, you will learn about tools and workflows that can help you manage big data and computationally intensive tasks in your research. The presentations and hands-on workshops are aimed at PhD-level students who want to get started with high-performance computing (HPC). Real-world examples will be used throughout the course. You will learn how to use Linux on a supercomputer to deploy computationally demanding tasks. Additionally, you will have the opportunity to learn from fellow researchers, domain experts, and technical specialists. By the end of the course, you will have a broader and deeper understanding of HPC and know how to apply various techniques to use an HPC system efficiently and effectively.
For more information on the course workshop’ subjects, please click the apply button above. Workshops may also include guest lectures from academia or the industry. Please note that for some workshops, the available spots are limited.
Study Characteristics
- Teacher: Various lecturers from VU, SURF, EuroCC and Industry.
- Language: English
- ECTS: 3
- Discipline: Computational Science (e.g., life sciences, genomics, finance, climate modeling, and related domains)
- Self paced: no
- In class/online: in class
- Academic skill: Research
- Available to: First PhD students VU | Academic staff VU | All VU employees
- Min. number of students: 8 (may vary based on workshop location)
- Max. number of students: 30 (may vary based on workshop location)
- Total course duration in hrs.: 24
- Number of lessons: 6
- Anticipated hrs. of study: 12
- Sign up period: January-February
- Concluding assessment: no
- With certificate: yes
- For questions or additional information about this course:
IT for Research: Itvo.it@vu.nl
Wiebe Timmers: w.j.r.timmers@vu.nl
For information about this course:
IT for Research