Universität Wien FIND

052800 VU Parallel Computing (2021W)

Continuous assessment of course work
MIXED

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

Link to lecture on 6.10.2021
https://eu.bbcollab.com/guest/8283ef6469cb4476937544d90cd5cbe3

Tuesday 05.10. 15:00 - 16:30 Digital
Wednesday 06.10. 16:45 - 18:15 Digital
Tuesday 12.10. 15:00 - 16:30 Digital
Wednesday 13.10. 16:45 - 18:15 Digital
Tuesday 19.10. 15:00 - 16:30 Digital
Wednesday 20.10. 16:45 - 18:15 Digital
Wednesday 27.10. 16:45 - 18:15 Digital
Wednesday 03.11. 16:45 - 18:15 Digital
Tuesday 09.11. 15:00 - 16:30 Digital
Wednesday 10.11. 16:45 - 18:15 Digital
Tuesday 16.11. 15:00 - 16:30 Digital
Wednesday 17.11. 16:45 - 18:15 Digital
Tuesday 23.11. 15:00 - 16:30 Digital
Wednesday 24.11. 16:45 - 18:15 Digital
Tuesday 30.11. 15:00 - 16:30 Digital
Wednesday 01.12. 16:45 - 18:15 Digital
Tuesday 07.12. 15:00 - 16:30 Digital
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
PC-Unterrichtsraum 3, Währinger Straße 29 1.OG
PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday 14.12. 15:00 - 16:30 Digital
Wednesday 15.12. 16:45 - 18:15 Digital
Tuesday 11.01. 15:00 - 16:30 Digital
Wednesday 12.01. 16:45 - 18:15 Digital
Tuesday 18.01. 15:00 - 16:30 Digital
Wednesday 19.01. 16:45 - 18:15 Digital
Tuesday 25.01. 15:00 - 16:30 Digital
Wednesday 26.01. 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)

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: We 10.11.2021 13:28