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053010 VU Parallel Architectures and Programming Models (2020W)

Continuous assessment of course work
Tu 24.11. 11:30-13:00 Digital

Registration/Deregistration

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
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)

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: We 07.10.2020 12:08