22112 High Performance Computing in Life Science: Difference between revisions
| Line 8: | Line 8: | ||
== Course details == | == Course details == | ||
The course is a practical introduction to working with supercomputers in Life Science. Using both "ordinary" servers and [https://computerome.dtu.dk/ Computerome], the Danish National Supercomputer for Life Sciences as a basis for lectures and exercises, we will cover subjects such as computer design, queueing systems, distributed computing, algorithms, parallel programming, performance and performance dependencies, database design and use, and practical organization of projects. | The course is a practical introduction to working with supercomputers in Life Science. Using both "ordinary" servers and [https://computerome.dtu.dk/ Computerome], the Danish National Supercomputer for Life Sciences as a basis for lectures and exercises, we will cover subjects such as computer design, queueing systems, distributed computing, algorithms, parallel programming, performance and performance dependencies, database design and use, and practical organization of projects. | ||
[[Aligning expectations]] Mandatory read at course start<br> | [[Aligning expectations]] Mandatory read at course start<br> | ||
[[Programme]] | [[Programme]] | ||
Revision as of 12:38, 6 March 2024
Teacher: Peter Wad Sackett, pwsa@dtu.dk
Language: The course is taught in English.
Tools: Various servers will be introduced.
Textbooks: There are no text books for the course. I will make do with powerpoints, videos and references to online resources. You can find the material under the individual lessons in the Programme.
Location: Building 358, room 60b.
Time: Thursday 13:00 - 17:00, module E1-B.
Course details
The course is a practical introduction to working with supercomputers in Life Science. Using both "ordinary" servers and Computerome, the Danish National Supercomputer for Life Sciences as a basis for lectures and exercises, we will cover subjects such as computer design, queueing systems, distributed computing, algorithms, parallel programming, performance and performance dependencies, database design and use, and practical organization of projects.
Aligning expectations Mandatory read at course start
Programme