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053010 VU Parallel Architectures and Programming Models (2020W)
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 14.09.2020 09:00 to Mo 21.09.2020 09:00
- Deregistration possible until We 14.10.2020 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 06.10. 11:30 - 13:00 Digital
- Thursday 08.10. 13:15 - 14:45 Digital
- Tuesday 13.10. 11:30 - 13:00 Digital
- Thursday 15.10. 13:15 - 14:45 Digital
- Tuesday 20.10. 11:30 - 13:00 Digital
- Thursday 22.10. 13:15 - 14:45 Digital
- Tuesday 27.10. 11:30 - 13:00 Digital
- Thursday 29.10. 13:15 - 14:45 Digital
- Tuesday 03.11. 11:30 - 13:00 Digital
- Thursday 05.11. 13:15 - 14:45 Digital
- Tuesday 10.11. 11:30 - 13:00 Digital
- Thursday 12.11. 13:15 - 14:45 Digital
- Tuesday 17.11. 11:30 - 13:00 Digital
- Thursday 19.11. 13:15 - 14:45 Digital
- Tuesday 24.11. 11:30 - 13:00 Digital
- Thursday 26.11. 13:15 - 14:45 Digital
- Tuesday 01.12. 11:30 - 13:00 Digital
- Thursday 03.12. 13:15 - 14:45 Digital
- Thursday 10.12. 13:15 - 14:45 Digital
- Tuesday 15.12. 11:30 - 13:00 Digital
- Thursday 17.12. 13:15 - 14:45 Digital
- Thursday 07.01. 13:15 - 14:45 Digital
- Tuesday 12.01. 11:30 - 13:00 Digital
- Thursday 14.01. 13:15 - 14:45 Digital
- Tuesday 19.01. 11:30 - 13:00 Digital
- Thursday 21.01. 13:15 - 14:45 Digital
- Tuesday 26.01. 11:30 - 13:00 Digital
- Thursday 28.01. 13:15 - 14:45 Digital
Information
Aims, contents and method of the course
Students understand advanced concepts of parallel architectures and parallel programming models and languages. Students understand major strategies for hardware-based and software-based optimizations of parallel systems. Students can apply these concepts to develop efficient applications for parallel computing 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: PAP
Last modified: Fr 12.05.2023 00:13