UINA511 Methods of Parallel Programming

Faculty of Philosophy and Science in Opava
Winter 2022
Extent and Intensity
2/0/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Petr Sosík, Dr. (lecturer)
Guaranteed by
doc. Ing. Petr Sosík, Dr.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Timetable
Mon 14:45–16:20 B3b
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Students will get familiar with principles of parallel programing, division of parallel systems according to the Flynn's taxonomy. Students will also get familiar with work in the PVM and MPI environment and technologies using graphics cards for the parallel computation such as CUDA, ATI FireStream, DirectCompute and OpenCL.
Syllabus
  • 1. Introduction to the principles - motivation of parallelization, terms definition 2. Flynn's taxonomy 3. Clusters 4. Parallel Virtual Machine a Message Passing Interface 5. CUDA technology 6. ATI FireStream technology 7. DirectCompute technology 8. OpenCL technology
Literature
    recommended literature
  • Shane Cook. CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing). ISBN 978-0124159334. info
  • Ananth Grama, George Karypis , Vipin Kumar , Anshul Gupta. Introduction to Parallel Computing (2nd Edition). Pearson Education, 2003. info
Teaching methods
Interactive lecture. Lecture with a practical programming examples. Homework.
Assessment methods
Exam
Language of instruction
English
The course is also listed under the following terms Winter 2021, Winter 2023, Winter 2024.
  • Enrolment Statistics (Winter 2022, recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2022/UINA511