EEWORLD University ---- Computer Architecture (Huazhong University of Science and Technology)

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EEWORLD University ---- Computer Architecture (Huazhong University of Science and Technology) [Copy link]

Computer Architecture (Huazhong University of Science and Technology) : https://training.eeworld.com.cn/course/6014

"Computer System Structure" is a core professional course of the first-level discipline of computer science and technology. It has the characteristics of abstract content, rapid development and change of content, rapid change of knowledge structure, and close integration with technical engineering. It plays an important role in cultivating students' level and quality in the series of courses of computer science and technology. The course emphasizes studying computer systems from the perspective of "overall structure and quantitative analysis", mastering the basic concepts and development history of computer architecture, quantitative analysis methods of computer system performance, design methods of typical instruction systems, architecture and performance optimization methods of instruction pipelines, storage hierarchy and cache design and performance optimization methods, understanding input and output system performance and reliability optimization methods, multi-processor system and cluster system architecture, key technologies and major influencing factors of current mainstream new computer architecture, etc. The quantitative and qualitative analysis methods, design methods and research methods of computer system structure are discussed in detail. The course focuses on deepening students' cognitive ability of "system overall", effectively enhancing students' ability to design, optimize and evaluate computer systems, and emphasizing the core concept of balanced and compromised system design and quantitative thinking. The main teaching content of the course focuses on both basic and advanced aspects, which corresponds to the characteristics of complex engineering problems. By mastering the thinking methods of analyzing problems, building abstract models, model analysis and optimization, students are trained to have the ability to build complex engineering processes in computer systems.