Module CS4170-KP06, CS4170SJ14
Parallel Computer Systems (ParaRSys14)
Duration
1 Semester
Turnus of offer
each winter semester
Credit points
6
Course of studies, specific fields and terms:
- Certificate in Artificial Intelligence, compulsory, Artificial Intelligence
- Master Entrepreneurship in Digital Technologies 2020, advanced module, specific
- Master Computer Science 2019, basic module, technical computer science
- Master Medical Informatics 2019, optional subject, technical computer science
- Master Robotics and Autonomous Systems 2019, optional subject, Elective
- Master IT-Security 2019, basic module, technical computer science
- Master Medical Informatics 2014, basic module, computer science
- Master Entrepreneurship in Digital Technologies 2014, basic module, specific
- Master Computer Science 2014, basic module, technical computer science
Classes and lectures:
- Parallel Computer Systems (exercise, 2 SWS)
- Parallel Computer Systems (lecture, 2 SWS)
Workload:
- 20 hours exam preparation
- 60 hours in-classroom work
- 100 hours private studies
Contents of teaching:
- Motivation and limitations for parallel processing
- Parallel computing models
- Taxonomy of parallel computers
- Multi/manycore-systems
- Graphic Processing Units (GPUs)
- OpenCL
- Specification languages
- Hardware architectures
- System management of many-core systems
Qualification-goals/Competencies:
- Students are able to characterize different parallel computing architectures.
- They are able to explain models of parallel computing.
- They are able to make use of common programming interfaces for parallel computing systems.
- They are able to judge which kind of parallel computing system is best suited for a dedicated problem and how many cores should be used.
- They are able to evaluate the pros and cons of different hardware architectures.
- They are able to write programs for parallel computing systems under considerations of the underlying hardware architecture.
- They are able to compare methods for dynamic voltage and frequency scaling (DVFS) for manycore systems.
Grading through:
- written exam
Responsible for this module:
Literature:
- G. Bengel, C. Baun, M. Kunze, K. U. Stucky : Masterkurs Parallele und Verteilte Systeme Vieweg + Teubner, 2008
- M. Dubois, M. Annavaram, P. Stenström : Parallel Computer Organization and Design University Press 2012
- B. R. Gaster, L. Howes, D. R. Kaeli, P. Mistry, D. Schaa : Heterogeneous Computing with OpenCL Elsevier/Morgan Kaufman 2013
- B. Wilkinson; M. Allen : Parallel Programming Englewood Cliffs: Pearson 2005
- J. Jeffers, J. Reinders : Intel Xeon Phi Coprozessor High-Performance Programming Elsevier/Morgan Kaufman 2013
- D. A. Patterson, J. L. Hennessy : Computer Organization and Design Morgan Kaufmann, 2013
Language:
- offered only in German
Notes:
Admission requirements for taking the module:- None
Admission requirements for participation in module examination(s):
- Successful completion of exercise assignments as specified at the beginning of the semester
Module Exam(s):
- CS4170-L1: Parallel Computer Systems, oral exam, 100% of the module grade
Last Updated:
06.01.2025