191.114 Basics of Parallel Computing
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022S, VU, 2.0h, 3.0EC
Lecture TubeTUWEL

Course evaluation

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • LectureTube course
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to

  • Understand and express asymptotic running time and work of parallel algorithms
  • Understand and appreciate characteristics of thread models for parallel computing
  • Read and write programs in OpenMP
  • Read and write programs in MPI
  • Understand and appreciate task parallel models for parallel computing

Subject of course

Motivation and goals of parallel computing, parallel computer architectures, programming models, performance measurement and analysis, introduction to programming paradigms such as MPI (Message Passing Interface), Pthreads, and OpenMP. Other aspects and languages for programming multi-core processors.

Teaching methods

Lectures, assignments

Mode of examination

Immanent

Additional information

ECTS Breakdown:

  • Lectures: 1,5 ECTS
  • Assignments: 1,5 ECTS
  • Lectures 8x2h = 16h
  • Self-study  37h
  • Assignments 2x10h = 20h
  • Written exam 2h = 2h

 Total: 75h = 3 ECTS

 

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed11:00 - 13:0002.03.2022FAV Hörsaal 1 - INF Lecture
Wed11:00 - 13:0009.03.2022 - 15.06.2022FAV Hörsaal 1 - INF Lecture
Wed11:00 - 13:0011.05.2022Informatikhörsaal - ARCH-INF Lecture
Wed11:00 - 13:0022.06.2022EI 7 Hörsaal - ETIT Exam
Basics of Parallel Computing - Single appointments
DayDateTimeLocationDescription
Wed02.03.202211:00 - 13:00FAV Hörsaal 1 - INF Lecture
Wed09.03.202211:00 - 13:00FAV Hörsaal 1 - INF Lecture
Wed16.03.202211:00 - 13:00FAV Hörsaal 1 - INF Lecture
Wed23.03.202211:00 - 13:00FAV Hörsaal 1 - INF Lecture
Wed30.03.202211:00 - 13:00FAV Hörsaal 1 - INF Lecture
Wed06.04.202211:00 - 13:00FAV Hörsaal 1 - INF Lecture
Wed27.04.202211:00 - 13:00FAV Hörsaal 1 - INF Lecture
Wed04.05.202211:00 - 13:00FAV Hörsaal 1 - INF Lecture
Wed11.05.202211:00 - 13:00Informatikhörsaal - ARCH-INF Lecture
Wed18.05.202211:00 - 13:00FAV Hörsaal 1 - INF Lecture
Wed25.05.202211:00 - 13:00FAV Hörsaal 1 - INF Lecture
Wed01.06.202211:00 - 13:00FAV Hörsaal 1 - INF Lecture
Wed08.06.202211:00 - 13:00FAV Hörsaal 1 - INF Lecture
Wed15.06.202211:00 - 13:00FAV Hörsaal 1 - INF Lecture
Wed22.06.202211:00 - 13:00EI 7 Hörsaal - ETIT Exam

Examination modalities

Part 1: Completing assignments
Part 2: Exam

Case 1:  in-classroom exams possible
- mode: written exam, closed book

Case 2:  in-classroom exam impossible
- mode: written / open book
- type: TUWEL quiz
- infrastructure required: Computer with Internet connection, webcam

 

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Mon10:00 - 10:4527.06.2022 Treitlstr. 3 / 5. Stock / Research Group Parallel Computingassessed22.06.2022 00:00 - 26.06.2022 23:59TISSExam 1 / Inspection 1
Mon14:00 - 14:4527.06.2022 Treitlstr. 3 / 5th floor / Research Group Parallel Computingassessed22.06.2022 00:00 - 26.06.2022 23:59TISSExam 1 / Inspection 1

Course registration

Begin End Deregistration end
11.02.2022 08:00 09.03.2022 23:59 04.05.2022 23:59

Curricula

Study CodeSemesterPrecon.Info
066 645 Data Science

Literature

No lecture notes are available.

Previous knowledge

Knowledge of programming languages, computer architectures, operating systems. Basic Algorithms and Datastructures (asymptotic worst-case analysis).

Programming skills, e.g., in C/C++, Java, or Python.

Continuative courses

Language

English