Introduction to Computer Architecture.pptx

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1. Introduction to Computer Architecture Name Aayush Jha Sub code Bcac201 Subject Computer architecture Year 1 st year ( 2 nd sem ) CALCUTTA INSTITUTE OF SCIENCE AND MANAGEMENT

2. Introduction This presentation provides an overview of computer architecture, focusing on key concepts, types, and their significance in computer systems.

3. Definition of Computer Architecture Computer architecture refers to the conceptual design and fundamental operational structure of a computer system. It encompasses the structure and behavior of the various components that make up a computer.

4. Importance and Purpose Understanding computer architecture is crucial for the design of efficient hardware and software systems. It plays a vital role in system performance, energy efficiency, and the ability to implement new technologies.

5. Key Components The key components of computer architecture include the Central Processing Unit (CPU), memory (both volatile and non-volatile), input/output devices, and interconnection networks. Each component plays a crucial role in the overall function of the computer system, influencing speed, efficiency, and capability.

6. Von Neumann Architecture The Von Neumann architecture is a computer design model consisting of a processing unit, a control unit, memory, and input/output mechanisms. It is characterized by the storage of both data and programs in the same memory space, allowing for flexibility but also creating a bottleneck known as the Von Neumann bottleneck.

7. Harvard Architecture Harvard architecture separates storage and treatment of instructions and data. It features distinct memory storage systems for instructions and data, allowing simultaneous data accesses and improving processing speeds, making it suitable for specialized applications such as digital signal processing.

8. Parallel and Distributed Systems Parallel and distributed systems utilize multiple processors and computers to perform simultaneous computations. They are designed to tackle complex problems by dividing tasks across numerous processors, thereby increasing performance and resource utilization. This architecture is crucial for cloud computing, big data, and high-performance computing environments.

9. Conclusions In conclusion, understanding computer architecture is foundational for the development of efficient computer systems. Different architectures such as Von Neumann, Harvard, and Parallel systems each have unique benefits and applications, emphasizing the importance of architectural choice in computing.

10. Thank you!