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- School of Science
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- School of Engineering
- Instructor(s)
- Wimer Shmuel
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Thr3-4()
- Group
- -
- Course number
- XEG.S607
- Credits
- 1
- Academic year
- 2021
- Offered quarter
- 3Q
- Syllabus updated
- 2021/4/2
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
The course will focus on the basic and essential components of computing systems. From their memory and storage, through instruction-level parallelism, up to multi-processing and multi-threading. It will provide the students with a knowledge of the "big picture" of computer systems, their capabilities and limitations, together with design practice based on tradeoffs and constraints.
Student learning outcomes
The outcome of this course is in an understanding and acquisition for the basic and essential components of computing systems.
Keywords
MIPS, Instruction Set Architecture, Memory, Pipelining, Speculation, Multi-threading, Multi Processors
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
Class flow
Frontal lectures in the classroom. There will home assignments of solving problems (though not checked, solutions will be published) and reading articles.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | MIPS Overview | Instruction Set Architecture (ISA), pipelining, hazards, Operating System (OS) interaction. |
| Class 2 | Memory Hierarchy | Locality, cache design, associativity, multi-level caching. |
| Class 3 | Virtual Memory | Address space, pages and frames, swap-space, TLB, OS interaction. |
| Class 4 | Instruction-level Parallelism (ILP1) | Software techniques, static scheduling, branch, prediction. |
| Class 5 | Instruction-level Parallelism (ILP2) | Pipeline extensions, dynamic scheduling, out-of-order execution. |
| Class 6 | Instruction-level Parallelism (ILP3) | Speculation, multiple-issue. |
| Class 7 | High-level Parallelism | Multi-threading, multi processors, shared and distributed memory. |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
None
Reference books, course materials, etc.
J. L. Hennessy and D. A. Patterson, Computer Architecture, 4nd Edition, Morgan Kaufmann.
Assessment criteria and methods
Learning achievement is evaluated by Final exam: 100%;
Related courses
- XEG.S404 ： Graph Theory with Engineering Application
- XEG.S607 ： Advanced Topics in Computer Architecture (School of Engineering)
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Knowledge of Digital Logic Systems, Logic Design, and Computers Introduction
