052800 VU Parallel Computing (2023S)
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 13.02.2023 09:00 to Th 23.02.2023 09:00
- Deregistration possible until Tu 14.03.2023 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
-
Wednesday
01.03.
18:30 - 20:00
Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG - Tuesday 07.03. 11:30 - 13:00 Hörsaal 32 Hauptgebäude, 1.Stock, Stiege 9
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Wednesday
08.03.
18:30 - 20:00
Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG - Tuesday 14.03. 11:30 - 13:00 Hörsaal 32 Hauptgebäude, 1.Stock, Stiege 9
- Wednesday 15.03. 18:30 - 20:00 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
- Tuesday 21.03. 11:30 - 13:00 Hörsaal 32 Hauptgebäude, 1.Stock, Stiege 9
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Wednesday
26.04.
18:30 - 20:00
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
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
PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG -
Tuesday
02.05.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4 -
Wednesday
03.05.
18:30 - 20:00
Hörsaal B UniCampus Hof 2 2C-EG-02
PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Seminarraum 7, Währinger Straße 29 1.OG - Tuesday 09.05. 11:30 - 13:00 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
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Wednesday
10.05.
18:30 - 20:00
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
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 - Tuesday 23.05. 11:30 - 13:00 Hörsaal 21 Hauptgebäude, Hochparterre, Stiege 8
- Wednesday 24.05. 18:30 - 20:00 Hörsaal B UniCampus Hof 2 2C-EG-02
- Wednesday 31.05. 18:30 - 20:00 Hörsaal B UniCampus Hof 2 2C-EG-02
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Wednesday
21.06.
18:30 - 20:00
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
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
PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
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, tests.
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)
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: Th 11.05.2023 09:47