Topic outline

  • This is a special couse on Large-Scale Computing and Data Analysis. The learning goal is to familiariaze the students with high-performance computing tools in use in present-day supercomputing facilities, and to practical applications that they can be utilized on. During this project-oriented course, the students are working hands on with pre-existing tools on challenging problems and data sets in a real supercomputing environment. In addition to working on a specific tool/application individually/in teams, the students will learn from other tools and applications through demonstrations by other students/teams.

    The projects will be undertaken in CSC supercomputing/cloud environment (Allas, Rahti, cPouta, ePouta, Puhti, Mahti). To pass the course, you will need to successfully complete the research project in CSC’s facilities and present your findings/solutions in a short presentation to other fellow students, and also listen to and comment on their presentations.

    Course materials are maintained in Aalto GitLab:

    https://version.aalto.fi/gitlab/lsca/cs-lsca/-/blob/master/README.md

    Discussion forum for the course participants (Teams link)

    Contact persons are the course teachers Linh Truong & Maarit Käpylä (firstname.lastname (at) aalto.fi)