EE663 High Performance Computer Architecture

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

Information

Code EE663
Name High Performance Computer Architecture
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MEHMET FATİH AKAY


Course Goal

The design of modern microprocessors, characteristics of the memory hierarchy, and issues involved in multi-threading and multi-processing are understood.

Course Content

Cost/performance analysis, design and evaluation of instruction set architectures, pipelining techniques, multi-level memory hierarchies, superscalar processor design, multi-threading and multi-processing.

Course Precondition

Resources

“Computer Architecture: A Quantitative Approach” (Sixth Edition) by John Hennessy and David Patterson, 2019.

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 The main objective of this course is to provide students with an understanding and appreciation of the fundamental issues and tradeoffs involved in the design and evaluation of modern computers.
LO02 The design of modern microprocessors, characteristics of the memory hierarchy, and issues involved in multi-threading and multi-processing are learned
LO03 Through programming and analysis assignments students will build, in stages, a timing simulator for a simplified out-of-order multiple-issue microprocessor in order to examine the impact of various architectural techniques.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Being able to specialize in at least one of the branches that form the foundations of electrical-electronic engineering by increasing the level of knowledge beyond the undergraduate level. 3
PLO02 Bilgi - Kuramsal, Olgusal To comprehend the integrity of all the subjects included in the field of specialization. 4
PLO03 Bilgi - Kuramsal, Olgusal Knowing and following the current scientific literature in the field of specialization 3
PLO04 Bilgi - Kuramsal, Olgusal To be able to comprehend the interdisciplinary interaction of the field with other related branches. 4
PLO05 Bilgi - Kuramsal, Olgusal Ability to do theoretical and experimental work 5
PLO06 Bilgi - Kuramsal, Olgusal To create a complete scientific text by compiling the information obtained from the research. 3
PLO07 Bilgi - Kuramsal, Olgusal To work on the thesis topic programmatically, following the logical integrity required by the subject within the framework determined by the advisor. 4
PLO08 Bilgi - Kuramsal, Olgusal To search for literature in scientific databases, particularly the ability to correctly and accurately scan databases and evaluate and categorize listed items. 2
PLO09 Bilgi - Kuramsal, Olgusal Knowledge of English at a level that can easily read and understand a scientific text written in English in the field of specialization 3
PLO10 Bilgi - Kuramsal, Olgusal Compile information on his/her expertise in a presentation format and present it understandably and effectively. 4
PLO11 Bilgi - Kuramsal, Olgusal Ability to write a computer program in a familiar programming language, generally for a specific purpose, specifically related to the field of expertise. 2
PLO12 Bilgi - Kuramsal, Olgusal Being able to guide and take the initiative in environments that require solving problems related to the field 3
PLO13 Yetkinlikler - İletişim ve Sosyal Yetkinlik Ability to communicate with people in an appropriate language 1
PLO14 Yetkinlikler - Öğrenme Yetkinliği To be able to produce projects, policies, and processes in the field of expertise and to evaluate these elements 3
PLO15 Yetkinlikler - Öğrenme Yetkinliği Ability to research new topics based on existing research experience 4


Week Plan

Week Topic Preparation Methods
1 Introduction Fundamentals of Computer Design Öğretim Yöntemleri:
Anlatım
2 Instruction Set Architecture Basic Pileplining Öğretim Yöntemleri:
Anlatım
3 Pipelining Öğretim Yöntemleri:
Anlatım
4 Branch Prediction Öğretim Yöntemleri:
Anlatım
5 Branch Prediction Dynamic Scheduling (Scoreboarding) Öğretim Yöntemleri:
Anlatım
6 Dynamic Scheduling (Tomasulo's) Hardware Speculation Öğretim Yöntemleri:
Anlatım
7 VLIW Memory System: Cache Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Memory System: Cache (Cont'd) Öğretim Yöntemleri:
Anlatım
10 Memory System: Main Meomory Öğretim Yöntemleri:
Anlatım
11 Multiprocessing Snooping Protocol Öğretim Yöntemleri:
Anlatım
12 Multiprocessing Directory Protocol Öğretim Yöntemleri:
Anlatım
13 Interconnection Networks Öğretim Yöntemleri:
Anlatım
14 Case Studies IBM and Intel Processors Öğretim Yöntemleri:
Anlatım
15 Review Practice problems Öğretim Yöntemleri:
Anlatım
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav