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052800 VU Parallel Computing (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. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 06.10. 15:00 - 16:30 Digital
- Wednesday 07.10. 16:45 - 18:15 Digital
- Tuesday 13.10. 15:00 - 16:30 Digital
- Wednesday 14.10. 16:45 - 18:15 Digital
- Tuesday 20.10. 15:00 - 16:30 Digital
- Wednesday 21.10. 16:45 - 18:15 Digital
- Tuesday 27.10. 15:00 - 16:30 Digital
- Wednesday 28.10. 16:45 - 18:15 Digital
- Tuesday 03.11. 15:00 - 16:30 Digital
- Wednesday 04.11. 16:45 - 18:15 Digital
- Tuesday 10.11. 15:00 - 16:30 Digital
- Wednesday 11.11. 16:45 - 18:15 Digital
- Tuesday 17.11. 15:00 - 16:30 Digital
- Wednesday 18.11. 16:45 - 18:15 Digital
- Tuesday 24.11. 15:00 - 16:30 Digital
- Wednesday 25.11. 16:45 - 18:15 Digital
- Tuesday 01.12. 15:00 - 16:30 Digital
- Wednesday 02.12. 16:45 - 18:15 Digital
- Wednesday 09.12. 16:45 - 18:15 Digital
- Tuesday 15.12. 15:00 - 16:30 Digital
- Wednesday 16.12. 16:45 - 18:15 Digital
- Tuesday 12.01. 15:00 - 16:30 Digital
- Wednesday 13.01. 16:45 - 18:15 Digital
- Tuesday 19.01. 15:00 - 16:30 Digital
- Wednesday 20.01. 16:45 - 18:15 Digital
- Tuesday 26.01. 15:00 - 16:30 Digital
- Wednesday 27.01. 16:45 - 18:15 Digital
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)
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: Fr 12.05.2023 00:13