22112 High Performance Computing in Life Science: Difference between revisions
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'''Tools:''' Various servers will be introduced.<br> | '''Tools:''' Various servers will be introduced.<br> | ||
'''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]].<br> | '''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]].<br> | ||
'''Location:''' Building | '''Location:''' Building 208, room 001.<br> | ||
'''Time:''' Thursday 13:00 - 17:00, module E1-B.<br> | '''Time:''' Thursday 13:00 - 17:00, module E1-B.<br> | ||
== Course details == | == Course details == | ||
The course is a practical introduction to working with supercomputers in Life Science. Using both "ordinary" laptops and computer clusters 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. | |||
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| [[Aligning expectations]] || Mandatory read at course start | |||
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| [[Programme]] || Fall 2024 | |||
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| [[Computerome]] || Some info on Computerome | |||
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== Earlier programmes == | |||
[[Programme]] | [[Programme Fall 2023]] | ||
Latest revision as of 22:51, 6 August 2025
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 208, room 001.
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" laptops and computer clusters 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 | Fall 2024 |
| Computerome | Some info on Computerome |