When the course guarantor is selected, comments will be displayed regarding his/her teaching performance as well as that of all the other teachers teaching the course. If a teacher who is not the course guarantor is selected, only comments related to his/her teaching will be displayed.
Mgr. Martin Popel, Ph.D. [32-UFAL], Natural language processing on computational cluster [NPFL118, cvičení]
Student has disallowed display of personal data, 04.01.2024, 1. Year, Computational linguistics, doctoral
Martin explained everything really well and took his time to answer questions. Without him, half of my accounts probably wouldn't work. His tour of the MS building was great.
Mgr. Rudolf Rosa, Ph.D. [32-UFAL], Natural language processing on computational cluster [NPFL118, cvičení]
Student has disallowed display of personal data, 04.01.2024, 1. Year, Computational linguistics, doctoral
Ruda explained everything really well and took a lot of time to answer additional questions and talk about his own PhD experience.
RNDr. Milan Straka, Ph.D. [32-UFAL], Natural language processing on computational cluster [NPFL118, cvičení]
Student has disallowed display of personal data, 04.01.2024, 1. Year, Computational linguistics, doctoral
Milan explained everything really well and took his time to answer questions and help with the assignments. His Slurm reference helped a lot with my first experiments on the CPU and GPU clusters.
Comment on course, Natural language processing on computational cluster [NPFL118, cvičení]
Student has disallowed display of personal data, 04.01.2024, 1. Year, Computational linguistics, doctoral
Generally, a good and detailed introduction to the UFAL infrastructure and pointers to important resources. Almost no questions were left open after the 3 days, but maybe it is too detailed.
2 entire days were spent reading Wiki pages, which was tiring. However, PhD students should be able to understand most of the sections by themselves. For example, an additional meeting was supposed to be scheduled for Biblio, but the system is self-explanatory and everyone finished the checklist anyway. I suggest putting the greatest focus on the Linux network and the topics related to the checklist while going into less detail otherwise. Perhaps, some of the more self-explanatory sections can be left as homework, and a Q&A meeting can be scheduled instead of a reading meeting.
The Slurm and Spark assignments were quite fun, but the grading was a bit too nitpicky at times. Since I immediately started my own PhD-topic-related experiments on the cluster, I would have liked to scrap 1 or 2 of the assignments because they took more time than necessary without giving me a real benefit.
