| CYBER SECURITY (ENGLISH, NONTHESIS) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| CMP5203 | High Performance Computer Architecture | Spring | 3 | 0 | 3 | 12 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
| Language of instruction: | English |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assist. Prof. ECE GELAL SOYAK |
| Course Objectives: | The course aims to provide students with a comprehensive understanding of modern computer architecture and systems. Students will explore fundamental topics such as computer organization, instruction set design, and memory system design, while gaining insights into advanced techniques like pipelining, cache coherence protocols, and instruction-level parallelism. The course will also cover system-level concepts, including the design of storage subsystems, and will provide practical exposure through case studies on the design of modern microprocessors. By the end of the course, students will have a deep understanding of both the hardware and system-level components that drive the performance and efficiency of contemporary computing systems. |
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The students who have succeeded in this course; - Understand key concepts in computer architecture including processor design, pipelining, and memory systems. - Analyze and optimize performance through techniques like instruction-level parallelism, cache management, and compiler optimizations. - Design and evaluate modern microprocessor systems using advanced concepts such as superscalar and VLIW architectures. - Gain expertise in multiprocessor and distributed systems including synchronization, memory consistency, and cluster computing. - Explore alternative computing models through non-Von Neumann architectures like data flow and systolic systems. - Apply theoretical knowledge through case studies on real-world microprocessor design. |
| 1. Review of basic computer architecture and quantitative techniques in computer design 2. CISC and RISC processors 3. Pipelining, hazards and exception handling 4. Hierarchical Memory, Inclusion, coherence, and locality properties 5. Cache memory organizations and techniques for reducing cache misses 6. Virtual memory organization, mapping, and management techniques 7. Midterm 8. I/O system design, bus structures 9. Thread level parallelism; Centralized vs. distributed shared memory, multicore architecture, cache coherence problem 10. Process level parallelism; distributed computers, clusters, grid 11. Centralized shared-memory architecture: synchronization, memory consistency, interconnection networks. 12. Non von Neumann architectures: data flow computers, reduction computer architectures, systolic architectures. |
| Week | Subject | Related Preparation |
| Course Notes / Textbooks: | |
| References: | * John L. Hennessy and David A. Patterson, Computer Architecture: A Quantitative Approach, Morgan Kaufmann. * D. A. Patterson and J. L. Hennessy, Computer Organization and Design, 4th Ed. * Computer Architecture, Berhooz Parhami. * John Paul Shen and Mikko H. Lipasti, Modern Processor Design: Fundamentals of Superscalar Processors, Tata McGraw-Hill. * M. J. Flynn, Computer Architecture: Pipelined and Parallel Processor Design, Narosa Publishing House. * Kai Hwang, Advanced Computer Architecture: Parallelism, Scalability, Programmability, McGraw-Hill. |
| Semester Requirements | Number of Activities | Level of Contribution |
| Quizzes | 3 | % 30 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Homework Assignments | 5 | 6 | 30 |
| Quizzes | 3 | 3 | 9 |
| Paper Submission | 1 | 20 | 20 |
| Final | 1 | 15 | 15 |
| Total Workload | 116 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Being able to develop and deepen their knowledge at the level of expertise in the same or a different field, based on undergraduate level qualifications. | 4 |
| 1) | Being able to independently carry out a work that requires expertise in the field. | 4 |
| 1) | To be able to supervise and teach these values by observing social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the data related to the field. | 4 |
| 1) | To be able to critically evaluate the knowledge and skills acquired in the field of expertise and to direct their learning. | 4 |
| 1) | To be able to interpret and create new knowledge by integrating the knowledge gained in the field with the knowledge from different disciplines, | 4 |
| 1) | To be able to systematically transfer current developments in the field and their own studies to groups in and outside the field, in written, verbal and visual forms, by supporting them with quantitative and qualitative data. | 4 |
| 2) | To be able to comprehend the interdisciplinary interaction with which the field is related. | 5 |
| 2) | To be able to use the theoretical and applied knowledge at the level of expertise acquired in the field. | 5 |
| 2) | To be able to critically examine social relations and the norms that guide these relations, to develop them and take action to change them when necessary. | 5 |
| 2) | To be able to develop strategy, policy and implementation plans in the fields related to the field and to evaluate the obtained results within the framework of quality processes. | 4 |
| 2) | To be able to develop new strategic approaches for the solution of complex and unpredictable problems encountered in applications related to the field and to produce solutions by taking responsibility. | 5 |
| 3) | To be able to use the knowledge, problem solving and/or application skills they have internalized in their field in interdisciplinary studies. | 5 |
| 3) | Being able to lead in environments that require the resolution of problems related to the field. | 5 |
| 3) | To be able to solve the problems encountered in the field by using research methods. | 4 |