Welcome to the online workshop on Julia for High-Performance Data Analysis on Feb. 4-7 (2025). Julia is a modern high-level programming language that is fast (on par with traditional HPC languages like Fortran and C) and relatively easy to write like Python or Matlab. It thus solves the two-language problem, i.e. when prototype code in a high-level language needs to be combined with or rewritten in a lower-level language to improve performance. Although Julia is a general-purpose language, many of its features are particularly useful for numerical scientific computation, and a wide range of both domain-specific and general libraries are available for statistics, machine learning, and numerical modeling.
This lesson material is targeted toward students, researchers and developers who:
Julia for High-Performance Data Analysis starts by briefly covering the basics of Julia’s syntax and features, and then introduce methods and libraries which are useful for writing high-performance code for modern HPC systems. After attending the workshop, you will:
Time | Contents | |
---|---|---|
Day 1 (Feb. 4) | Welcome | |
09:10-09:20 | Motivation | |
09:20-09:50 | Julia syntax | |
09:50-10:00 | Break | |
10:00-10:50 | Special Julia features | |
10:50-11:00 | Break | |
11:00-11:50 | Developing in Julia | |
11:50-12:00 | Package ecosystem | |
Day 2 (Feb. 5) | 09:00-09:20 | Motivation (Julia for data analysis) |
09:20-09:50 | Data formats and data frames | |
09:50-10:00 | Break | |
10:00-10:50 | Data formats and data frames | |
10:50-11:00 | Break | |
11:00-11:50 | Linear algebra | |
Day 3 (Feb. 6) | 09:00-09:50 | Machine learning |
09:50-10:00 | Break | |
10:00-10:50 | Clustering and Classification | |
10:50-11:00 | Break | |
11:00-11:50 | Deep learning | |
Day 4 (Feb. 7) | 09:00-09:50 | Linear regression |
09:50-10:00 | Break | |
10:00-10:50 | Non-linear regression | |
10:50-11:00 | Break | |
11:00-11:50 | Scientific machine learning | |
11:50-12:00 | Conclusions and outlook |
Check out more upcoming events from ENCCS and our European network at https://enccs.se/events.
For questions regarding this workshop or general questions about ENNCS training events, please contact training@enccs.se
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Please send us an email at training@enccs.se to cancel your attendance.
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This training is for users who live and work in the European Union or a country associated with Horizon 2020. You can read more about the countries ass