Advanced Computer Architectures

Објавено: June 28, 2022
1. Course Title Advanced Computer Architectures
2. Code 4ФЕИТ07З012
3. Study program КТИ,КХИЕ
4. Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
5. Degree (first, second, third cycle) First cycle
6. Academic year/semester IV/7 7. Number of ECTS credits 6
8. Lecturer D-r Danijela Efnusheva
9. Course Prerequisites Passed: Computer Architectures, Logic Design
10. Course Goals (acquired competencies): Introduction to the functions of modern elements in advanced computer systems: various concepts for parallelism of instructions, synchronization of multiprocessors, modern design of memory hierarchy and practical examples. Upon completion of the course students will be able to:
– analyze and understand advanced computer architectures;
– understand techniques for achieving parallelism at instructional level, data level and thread level;
– understand advanced processor architectures: vectors, super-scalars, VLIW processors, multi-issue processors, etc.;
– understand parallel processors: multi-core processors with shared and distributed memory;
– understand advanced memory technologies and optimization;
– understand techniques for achieving memory coherence and synchronization in parallel processors;
11. Course Syllabus: Introduction to advanced computer architectures. Classes of computers and development directions. Trends in technology, price and power. Performances of computer systems. Quantitative approaches for design of computers. Instruction-level parallelism. Data and control dependences. Loop unrolling and scheduling. Branch prediction. Overcoming data hazards with dynamic scheduling. Tomasulo’s algorithm. Hardware-based speculative execution. Comparison of hardware versus software multiple instruction issue and speculation. Multithreading- a solution to the constraints of instruction level parallelism. Introduction to Intel Core i7 6700 and ARM Cortex-A53 processors. Multi-processor systems with shared memory and distributed memory. Synchronization. Maintaining memory consistency. Multi-core processors and their performance. Data-level parallelism. Vector processors. SIMD instruction set extensions for multimedia. Graphics processing units. Introduction to NVIDIA and Pascal GPU architecture. Comparison of graphics processors with other parallel processors. Memory hierarchy design. Memory technologies and optimizations. Optimizations of cache memory performances. Memory protection: virtual memory and virtual machines. Virtual machine monitor. Instruction set architecture support for virtual machines. Storage systems. I/O performance, reliability and testing. Design and evaluation of I/O system.
12. Learning methods: Lectures, tasks and exercises and laboratory practice
13. Total number of course hours 2 + 2 + 1 + 0
14. Distribution of course hours 180
15. Forms of teaching 15.1. Lectures-theoretical teaching 30
15.2. Exercises (laboratory, practice classes), seminars, teamwork 45
16. Other course activities 16.1. Projects, seminar papers 0
16.2. Individual tasks 25
16.3. Homework and self-learning 80
17. Grading 17.1. Exams 0
17.2. Seminar work/project (presentation: written and oral) 30
17.3. Activity and participation 30
17.4. Final exam 40
18. Grading criteria (points) up to 50 points 5 (five) (F)
from 51to 60 points 6 (six) (E)
from 61to 70 points 7 (seven) (D)
from 71to 80 points 8 (eight) (C)
from 81to 90 points 9 (nine) (B)
from 91to 100 points 10 (ten) (A)
19. Conditions for acquiring teacher’s signature and for taking final exam Practical (laboratory) exercises
20. Forms of assessment Two partial exams during the semester with a duration of 120 minutes or one full exam in a corresponding exam session with a duration of 120 minutes. Independent (seminar) project work by each student. The second partial exam includes presentation and defense of the (seminar) project work. The laboratory exercises are also graded. The final grade includes points from the exam, the project (seminar) work and the laboratory exercises.
It is not allowed to use books, scripts, manuscripts or notes of any kind during the exam, as well as a calculator, mobile phone, tablet or any other electronic device.
21. Language Macedonian and English
22. Method of monitoring of teaching quality Self-evaluation and questionnaires
23. Literature
23.1. Required Literature
No. Author Title Publisher Year
1 J. L. Hennessy, D.A. Patterson Computer Architecture: A Quantitative Approach 6th Ed Morgan Kaufmann 2019
2 W. Stallings Computer Organization and Architecture Designing for Performance 11th ed. Pearson 2019
3 Џон Л. Хенеси, Дејвид А. Петерсон Компјутерска архитектура Превод влада 2011
23.2. Additional Literature
No. Author Title Publisher Year
1 D.A. Patterson, J. L. Hennessy Computer Organization and Design The Hardware/Software Interface: RISC-V Edition Morgan Kaufmann 2018
2 Ендрју С. Таненбаум Структурирана компјутерска организација превод влада 2012