184.710 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.

2024S, VU, 4.0h, 6.0EC
TUWEL

Properties

  • Semester hours: 4.0
  • Credits: 6.0
  • Type: VU Lecture and Exercise
  • 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 parallel algorithm using the PRAM model with respect to running time and work
  • 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, goals of parallel computing. Parallel algorithms, architectures, programming models, performance measurement and analysis. Problems in parallel algorithms. Introduction to MPI (Message-Passing interface), hreads and OpenMP. Task-parallel models and interfaces (Cilk). Other languages for multi-core processors.

Planning overview and first lecture: March 6, 2024

Teaching methods

Lectures, own study, home exercises, programming project.

Mode of examination

Immanent

Additional information

Literature:

  • Rauber, Rünger: Parallel programming. Second Edition, Springer 2013.
  • Schmidt, Gonzalez-Dominguez, Hundt, Schlarb: Parallel Programming. Concepts and Practice. Morgan Kaufmann 2018.

Additional literature will be announced. Course material (slides) should suffice for the programming projects.

ECTS Breakdown:

  • Lectures: 1,5 ECTS
  • Study: 1,5 ECTS
  • Project work (implementations, test, benchmarking): 3 ECTS
  • Lectures:  12x2h = 24h
  • Other online-stuff:  2x2h = 4h
  • Exams:  3x3h = 9h
  • Self-study:  41h
  • Home exercises:  24h
  • Programming parts:  2x24h = 48h

 Total: 150h = 6 ECTS

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed13:00 - 15:0006.03.2024 - 19.06.2024Informatikhörsaal - ARCH-INF Lecture
Parallel Computing - Single appointments
DayDateTimeLocationDescription
Wed06.03.202413:00 - 15:00Informatikhörsaal - ARCH-INF Lecture
Wed13.03.202413:00 - 15:00Informatikhörsaal - ARCH-INF Lecture
Wed20.03.202413:00 - 15:00Informatikhörsaal - ARCH-INF Lecture
Wed10.04.202413:00 - 15:00Informatikhörsaal - ARCH-INF Lecture
Wed17.04.202413:00 - 15:00Informatikhörsaal - ARCH-INF Lecture
Wed24.04.202413:00 - 15:00Informatikhörsaal - ARCH-INF Lecture
Wed08.05.202413:00 - 15:00Informatikhörsaal - ARCH-INF Lecture
Wed15.05.202413:00 - 15:00Informatikhörsaal - ARCH-INF Lecture
Wed22.05.202413:00 - 15:00Informatikhörsaal - ARCH-INF Lecture
Wed29.05.202413:00 - 15:00Informatikhörsaal - ARCH-INF Lecture
Wed05.06.202413:00 - 15:00Informatikhörsaal - ARCH-INF Lecture
Wed12.06.202413:00 - 15:00Informatikhörsaal - ARCH-INF Lecture
Wed19.06.202413:00 - 15:00Informatikhörsaal - ARCH-INF Lecture

Examination modalities

Exercises, projects, quizzes Planned are 3 quizzes (online), and project/exercises with both theoretical and practical parts. Breakdown for final grade will be announced

 

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Fri08:00 - 10:0026.04.2024Hörsaal 6 - RPL assessed01.04.2024 00:00 - 24.04.2024 23:59TISSExam 1 / Room 1
Fri08:00 - 10:0026.04.2024HS 13 Ernst Melan - RPL assessed01.04.2024 00:00 - 24.04.2024 23:59TISSExam 1 / Room 2
Fri08:00 - 10:0026.04.2024HS 14A Günther Feuerstein assessed01.04.2024 00:00 - 24.04.2024 23:59TISSExam 1 / Room 3
Fri09:00 - 11:0024.05.2024EI 7 Hörsaal - ETIT assessed01.05.2024 00:00 - 22.05.2024 23:59TISSExam 2 / Room 1
Fri08:00 - 10:0021.06.2024Informatikhörsaal - ARCH-INF assessed01.06.2024 00:00 - 19.06.2024 23:59TISSExam 3 / Room 1

Course registration

Begin End Deregistration end
16.02.2024 23:55 11.03.2024 23:55 17.04.2024 23:55

Curricula

Study CodeObligationSemesterPrecon.Info
033 521 Informatics Mandatory electiveSTEOP
Course requires the completion of the introductory and orientation phase
033 526 Business Informatics Mandatory electiveSTEOP
Course requires the completion of the introductory and orientation phase
033 534 Software & Information Engineering Mandatory4. SemesterSTEOP
Course requires the completion of the introductory and orientation phase
033 535 Computer Engineering Mandatory electiveSTEOP
Course requires the completion of the introductory and orientation phase

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 in C, C++, Fortran or Java.

Preceding courses

Accompanying courses

Continuative courses

Miscellaneous

  • Attendance Required!

Language

German