Natural language processing on computational cluster

Syllabus

Technological difficulties with processing big data

ÚFAL network and cluster architecture

Slurm - architecture, commands

Related Linux tools

Annotation

The aim of the course is to introduce methods required in natural language processing (processing huge data sets in distributed environment and performing machine learning) and show how to effectively execute them on ÚFAL computational Linux cluster. The course will cover ÚFAL network and cluster architecture, SGE (Sun/Oracle/Son of

Grid Engine), related Linux tools and best practices.

The whole course will be taught in several first weeks of the semester.