Subject

Parallel programming

Course Title

Parallel programming
Parallel programming

Code

F23L3S149

Study Programme

—

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First Cycle

Academic year / semester

6 / Summer

Number of ECTS credits

Teacher

Марјан Гушев, Владимир Здравески

Prerequisites for enrolling in the course

Algorithms and Data Structures or Applied Algorithms and Data Structures

10.

Objectives of the course programme (competences)

Research on algorithms and programming techniques for the latest shared-memory and many-core parallel platforms.
Distributed memory. The student will become familiar with the theoretical and practical (programming) components.

11.

Course content

(1) Introduction. Overview and challenges of parallel systems. (1) Fundamentals of parallel computing: models, algorithms. (1) Special-purpose architectures. (2) Issues and solutions in synchronization for multithreaded systems. (1) Parallel systems: introduction to parallel programming models. (1) Parallel algorithm design. (2) Shared memory and MPI. (2) GPU architecture and CUDA programming. (1) Performance analysis. (1) Optimization

12.

Learning methods

Lectures supported by slide presentations, interactive lectures, exercises (using equipment and software packages), team work, case studies, guest lecturers, independent preparation and defense of a project assignment and a seminar paper, and learning in an electronic environment (forums, consultations).

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	30 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	45 hours

16.

Other forms of activities

16.1.	Project assignments	15 hours
16.2.	Independent assignments	15 hours
16.3.	Home study	75 hours

17.

Assessment method

17.1.	Tests	10 points
17.2.	Seminar paper / project (presentation: written and oral)	15 points
17.3.	Activities and learning	10 points
17.4.	Final exam	70 points

18.

Grading criteria (points / grade)

up to 50 points	5 (five) (F)
from 51 to 60 points	6 (six) (E)
from 61 to 70 points	7 (seven) (D)
from 71 to 80 points	8 (eight) (C)
from 81 to 90 points	9 (nine) (B)
from 91 to 100 points	10 (ten) (A)

19.

Requirement for obtaining a signature and taking the final exam

15.1 and 15.2

20.

Language of instruction

Macedonian and English

21.

Method for monitoring the quality of teaching

internal evaluation and survey mechanism

22.

Literature

22.1.	Required literature 1. Jason Sanders, Edward Kandrot \| Cuda by example \| Addison-Wesley \| 2010 2. Shane Cook \| Cuda programming \| Elsevier \| 2013 3. David B. Kirk, W. Hwu Wen-Mei \| Programming massively parallel processors: a hands-on approach \| Morgan Kaufmann \| 2016
22.2.	Additional literature No. Author Title Publisher Year