CENG544 Multiprocessor Architectures

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code CENG544
Name Multiprocessor Architectures
Term 2022-2023 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MEHMET FATİH AKAY
Course Instructor
1


Course Goal / Objective

Multiprocessors are a core component in all types of computing infrastructure, from phones to data centers. This course will cover processor design and concurrency prerequisites to introduce the core technologies needed to consolidate multiple compute elements into a single computer.

Course Content

Different types of multiprocessors with a focus on cache coherence, consistency, interconnect, message passing, memory hierarchy, support needed at the core level, heterogeneous architectures

Course Precondition

Basic knowledge of processors

Resources

Computer architecture: a quantitative approach - Hennessy, J.L.; Patterson, D.A, Elsevier/Morgan Kaufmann, 2019. ISBN: 9780128119051

Notes

Hennessy, J. L. Patterson, D. A., 2012, Computer Architecture: A Quantitative Approach, (5. ed.), Morgan Kaufmann, ISBN 0-12-383872-8.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Detect and address inefficiencies in parallel software.
LO02 Design and evaluate software for multiple parallel platforms.
LO03 Design and evaluate hardware for shared memory.
LO04 Ability to understand cache consistency in multiprocessor systems
LO05 Çok işlemcili sistemlerin senkronizasyon mekanizmalarını analiz edebilme


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal On the basis of the competencies gained at the undergraduate level, it has an advanced level of knowledge and understanding that provides the basis for original studies in the field of Computer Engineering. 4
PLO02 Bilgi - Kuramsal, Olgusal By reaching scientific knowledge in the field of engineering, he/she reaches the knowledge in depth and depth, evaluates, interprets and applies the information. 2
PLO03 Yetkinlikler - Öğrenme Yetkinliği Being aware of the new and developing practices of his / her profession and examining and learning when necessary. 4
PLO04 Yetkinlikler - Öğrenme Yetkinliği Constructs engineering problems, develops methods to solve them and applies innovative methods in solutions. 3
PLO05 Yetkinlikler - Öğrenme Yetkinliği Designs and applies analytical, modeling and experimental based researches, analyzes and interprets complex situations encountered in this process. 3
PLO06 Yetkinlikler - Öğrenme Yetkinliği Develops new and / or original ideas and methods, develops innovative solutions in system, part or process design. 3
PLO07 Beceriler - Bilişsel, Uygulamalı Has the skills of learning. 2
PLO08 Beceriler - Bilişsel, Uygulamalı Being aware of new and emerging applications of Computer Engineering examines and learns them if necessary. 4
PLO09 Beceriler - Bilişsel, Uygulamalı Transmits the processes and results of their studies in written or oral form in the national and international environments outside or outside the field of Computer Engineering. 1
PLO10 Beceriler - Bilişsel, Uygulamalı Has comprehensive knowledge about current techniques and methods and their limitations in Computer Engineering. 3
PLO11 Beceriler - Bilişsel, Uygulamalı Uses information and communication technologies at an advanced level interactively with computer software required by Computer Engineering. 2
PLO12 Bilgi - Kuramsal, Olgusal Observes social, scientific and ethical values in all professional activities. 1


Week Plan

Week Topic Preparation Methods
1 Forms of parallelism
2 Parallel programming models
3 Cache coherence
4 Memory consistency
5 Synchronization I
6 Synchronization II
7 Repeat Before Exam
8 Mid-Term Exam
9 Mid-Term evaluation
10 Interconnection networks
11 Interconnection networks Software efficiency optimization
12 Software efficiency optimization
13 Example of Software efficiency optimization
14 GPU architecture programming
15 Sample problems
16 Term Exams
17 Term Exams


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 19.11.2022 02:41