University: Technical University of Košice
Faculty: Faculty of Electrical Engineering and Informatics
Department: Department of Computers and Informatics
Course Number: 2612261 Course Name: Parallel computer systems
Type, scope and method of learning activities:
Course Type: Lecture, Laboratory exercise
Recommended scope of the course content (in hours):
Full-time study (hours per week): 2,2
Part-time study (hours per semester): ST 26,26
Study Method:
Number of credits: 6
Recommended semester of study: ST
Recommended semester Study programme Study grade Study Method
1.rok ST Cybersecurity (KB_Ing_D_sk)
Informatics (INF_Ing_D_sk)
Computer Modelling (PM_Ing_D_sk)
Informatics (INF_Ing_D_en)
Level of study:
Course completion requirements:
Assessment and completion of the course: Credit test and examination
Continuous assessment: Student passes the continuous assessment and receives credits when he or she meets the requirement to obtain at least 16% out of 30%.
Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 36% out of 70%.
Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)
Learning outcomes:
Student gains through education the knowledge about the parallel computers, begin with computational models of computing machines, throught parallel processing of computational processes, and up to architectonic solution of parallel computer systems. Acquired knowledge about processing elements of parallel computers, student will be able to apply in practice, and also in theoretical informatics.
Brief course content:
1. Introduction to parallel computer systems
2. Principles and theory of parallel computer systems
3. Parallel execution of program
4. Characteristic features of parallelism
5. Pipelining of vectorized programs in parallel computer systems
6. ILP architectures
7. Architectures using the data flow mechanism
8. Multithread architectures
9. Interconnection networks
10. Shared memory multiprocessor systems
11. Message-passing multiprocessor systems
12. Supercomputers, DNA-computers, quantum computers
Recommended Reference Sources:
1. Parhami, B.: Computer Architecture: From Microprocessors to Supercomputers. Oxford University Press, USA, 2005, ISBN 019515455X.
2. Sima, D., Fountain, T., Karsuk, P.: Advanced Computer Architectures: a design space approche. Addison Wesley Longman, 1997, ISBN 0201422913.
3. Wilkinson, B.: Computer architecture: design and performance (2nd edition). Prentice Hall, 1996, ISBN 0-13-518200-X.
Recommended optional program components:
Languages required for the course completion:
Course assessment:
Total number of students assessed: 1644
  A B C D E FX  
  6% 22% 28% 23% 12% 8%  
doc. Ing. Norbert Ádám, PhD.
doc. Ing. Ján Genči, PhD.
Last modified: 31.08.2023
Approved by: person(s) responsible for the study program