9600-0002/02 – Parallel Programming (PPR)

Gurantor departmentIT4InnovationsCredits10
Subject guarantorprof. Ing. Tomáš Kozubek, Ph.D.Subject version guarantorprof. Ing. Tomáš Kozubek, Ph.D.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2015/2016Year of cancellation
Intended for the facultiesUSPIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
KOZ75 prof. Ing. Tomáš Kozubek, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 2+0
Combined Examination 10+0

Subject aims expressed by acquired skills and competences

The aim of the subject is to introduce students to the most frequently used methods of parallel programming.

Teaching methods

Lectures
Individual consultations

Summary

The course consists of an introduction to advanced methods of parallel programming of the state-of-the-art HPC architectures. Distributed memory programming methods, multi-core shared memory, or PGAS programming model will be described. Further, students will be introduced to the field of HPC accelerators (Nvidia GPU and Intel Xeon Phi).

Compulsory literature:

1. Michael McCool (Author), James Reinders (Author), Arch Robison (Author), Structured Parallel Programming: Patterns for Efficient Computation Paperback – June 25, 2012 2. http://mpi-forum.org, MPI: A Message-Passing Interface Standard 3. http://openmp.org, OpenMP Application Program Interface 4. UPC: Distributed Shared Memory Programming, Tarek El-Ghazawi, William Carlson, Thomas Sterling, Katherine Yelick. John Wiley, 2005. 5. High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches Paperback – November 17, 2014 by James Reinders (Author), James Jeffers (Author)

Recommended literature:

Internet sources describing selected implementations of discoursed standards

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

No other requirements.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

The course consists of an introduction to advanced methods of parallel programming of the state-of-the-art HPC architectures. Distributed memory programming methods, multi-core shared memory, or PGAS programming model will be described. Further, students will be introduced to the field of HPC accelerators (Nvidia GPU and Intel Xeon Phi).

Conditions for subject completion

Full-time form (validity from: 2015/2016 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (P2658) Computational Sciences (2612V078) Computational Sciences P English Ostrava Choice-compulsory study plan
2019/2020 (P2658) Computational Sciences (2612V078) Computational Sciences K English Ostrava Choice-compulsory study plan
2018/2019 (P2658) Computational Sciences (2612V078) Computational Sciences P English Ostrava Choice-compulsory study plan
2018/2019 (P2658) Computational Sciences (2612V078) Computational Sciences K English Ostrava Choice-compulsory study plan
2017/2018 (P2658) Computational Sciences (2612V078) Computational Sciences P English Ostrava Choice-compulsory study plan
2017/2018 (P2658) Computational Sciences (2612V078) Computational Sciences K English Ostrava Choice-compulsory study plan
2016/2017 (P2658) Computational Sciences (2612V078) Computational Sciences P English Ostrava Choice-compulsory study plan
2016/2017 (P2658) Computational Sciences (2612V078) Computational Sciences K English Ostrava Choice-compulsory study plan
2015/2016 (P2658) Computational Sciences (2612V078) Computational Sciences P English Ostrava Choice-compulsory study plan
2015/2016 (P2658) Computational Sciences (2612V078) Computational Sciences K English Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner