| Instructor(s) | Dr. Andy Ye [Coordinator] Office: ENG319 Phone: (416) 979-5000 x 554901 Email: agye@torontomu.ca Office Hours: Tuesdays 11:30am to 12:30pm | ||||||||||||
| Calendar Description | The main topics include: instruction set architecture for advanced processor, advanced pipelining, including branch predication, instruction level parallelism. It also covers advanced architecture including superscalar VLIW, speculative, vector processors, multithreading and multi-processors. It discusses the performance limitations and scalability issues and introduces real-world examples including MMX technology, and Pentium architectures. The laboratory work includes performance evaluation of advanced architectures. | ||||||||||||
| Prerequisites | COE 758 | ||||||||||||
| Antirequisites | None | ||||||||||||
| Corerequisites | None | ||||||||||||
| Compulsory Text(s): |
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| Reference Text(s): | |||||||||||||
| Learning Objectives (Indicators) | At the end of this course, the successful student will be able to:
NOTE:Numbers in parentheses refer to the graduate attributes required by the Canadian Engineering Accreditation Board (CEAB). | ||||||||||||
| Course Organization | 3.0 hours of lecture per week for 13 weeks | ||||||||||||
| Teaching Assistants | Divya Bharathi Kannappan, divya.kannappan@torontomu.ca, 012-LAB 092-LAB 022-LAB Harkartik Singh, harkartik.singh@torontomu.ca, 042-LAB 032-LAB 052-LAB Karan Hayer, karan.hayer@torontomu.ca, 082-LAB 072-LAB 062-LAB | ||||||||||||
| Course Evaluation |
Note: In order for a student to pass a course, a minimum overall course mark of 50% must be obtained. In addition, for courses that have both "Theory and Laboratory" components, the student must pass the Laboratory and Theory portions separately by achieving a minimum of 50% in the combined Laboratory components and 50% in the combined Theory components. Please refer to the "Course Evaluation" section above for details on the Theory and Laboratory components (if applicable). | ||||||||||||
| Examinations | Midterm exam in Week 7, for two hours, closed book (covers Weeks 1-6). Final exam, during the exam period, two and half hours, closed-book (covers Weeks 1-13). | ||||||||||||
| Other Evaluation Information | Use of Generative AI (e.g. ChatGPT, Grammarly, Perplexity, DeepL Translator) to develop or assist with any ideas or material submitted for coursework is expressly prohibited in this course. Use of Generative AI in this manner will be considered a breach of Policy 60. | ||||||||||||
| Teaching Methods | Lecture time Mondays from 12pm to 3pm DCC208 | ||||||||||||
| Other Information | None | ||||||||||||
Week | Hours | Chapters / | Topic, description |
|---|---|---|---|
1 (Jan 5 - 11) | 3 | A.1 - A.5 | Instruction Set Principles |
2 (Jan 12 - 18) | 3 | A.6 - A.9 | Instruction Set Principles |
3 (Jan 19 - 25) | 3 | C.1 - C.2 | Pipelining Basic and Intermediate Concepts |
4 (Jan 26 - 1) | 3 | C.3 - C.4 | Pipelining Basic and Intermediate Concepts |
5 (Feb 2 - 8) | 3 | C.5 - C.6 | Pipelining Basic and Intermediate Concepts |
6 (Feb 9 - 15) | 3 | 3.1 - 3.4 | Instruction-Level Parallelism: |
(Feb 16 - 22) | 3 | Reading Week | |
7 (Feb 23 - 1) | 3 | Midterm (90 minutes, Feb 23, in class) | |
8 (Mar 2 - 8) | 3 | 3.5 - 3.8 | Instruction-Level Parallelism: |
9 (Mar 9 - 15) | 3 | 3.9 - 3.12 | Instruction-Level Parallelism: |
10 (Mar 16 - 22) | 3 | 4.1 - 4.3 | Data-Level Parallelism in Vector, SIMD, and GPU Architectures |
11 (Mar 23 - 29) | 3 | 4.4 - 4.7 | Data-Level Parallelism in Vector, SIMD, and GPU Architectures |
12 (Mar 30 - 5) | 3 | 5.1 - 5.4 | Thread-Level Parallelism |
13 (Apr 6 - 12) | 3 | 5.5 - 5.8 | Thread-Level Parallelism |
Week | L/T/A | Description |
|---|---|---|
2-3 | ENG412 | Using SIMPLESCALAR Simulator |
4 | ENG412 | Evaluating Performance of Computer System |
5-9 | ENG412 | Using NVIDIA GPU Part 1 |
10-12 | ENG412 | Using NVIDIA GPU Part 2 |
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