Universität Wien

052800 VU Parallel Computing (2023W)

Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 03.10. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Wednesday 04.10. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
  • Tuesday 10.10. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Wednesday 11.10. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
  • Tuesday 17.10. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Wednesday 18.10. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
  • Tuesday 24.10. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Wednesday 25.10. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
  • Tuesday 31.10. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Tuesday 07.11. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Wednesday 08.11. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
  • Tuesday 14.11. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Wednesday 15.11. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
  • Tuesday 21.11. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Wednesday 22.11. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
  • Tuesday 28.11. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Wednesday 29.11. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
  • Tuesday 05.12. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Wednesday 06.12. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
  • Tuesday 12.12. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Wednesday 13.12. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
  • Tuesday 09.01. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Wednesday 10.01. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
  • Tuesday 16.01. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Wednesday 17.01. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
  • Tuesday 23.01. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
  • Wednesday 24.01. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
  • Tuesday 30.01. 15:00 - 16:30 Hörsaal III NIG Erdgeschoß
    PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 31.01. 16:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4

Information

Aims, contents and method of the course

Students understand fundamental concepts of parallel computing including: parallelism and concurrency, dependences, communication, coordination and synchronization. Students understand major parallelization strategies and are familiar with basic methods for performance analysis of parallel programs. Practical exercises and project work for programming parallel processors and systems.

Assessment and permitted materials

Assignments must be submitted before the deadline, tests about the assignments, and a final test.

Minimum requirements and assessment criteria

Grading is based on partial assessments (assignments and tests). A partial assessment is positive if at least 30% are reached.

Requirements for a positive grade:
overall at least 50% on all partial assessments (assignments and tests)
AND
at most one negative partial assessment (assignment or test)

Grading scheme:
>= 88% --> Sehr Gut (1)
>= 75% and at most 1 negative partial assessment --> Gut (2)
>= 62% and at most 1 negative partial assessment --> Befriedigend (3)
>= 50% and at most 1 negative partial assessment --> Genügend (4)
< 50% or more than 1 negative partial assessment --> Nicht Genügend (5)

Examination topics

Lecture materials, accompanying literature, and the assignments.

Reading list

Lecture materials and accompanying literature.

Association in the course directory

Module: PC SCP

Last modified: Tu 12.12.2023 14:25