Computer Architecture - Notes, Syllabus & Materials | YNetStudyHub

Computer Architecture

Comprehensive curriculum, topic notes, practice questions, and past examination papers for Computer Architecture on YNetStudyHub.

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Topics & Syllabus 10

#1 Introduction to Computer Architecture
This topic covers the basic concepts of computer architecture, including the CPU, mem...
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#2 Central Processing Unit (CPU)
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#3 Memory Hierarchy
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#4 Instruction Set Architecture (ISA)
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#5 Input/Output Systems
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#6 Pipelining and Parallelism
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#7 Memory Management
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#8 Storage Systems
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#9 Performance Evaluation and Optimization
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#10 Emerging Trends in Computer Architecture
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Unit Outline 40h

Learning Objectives

8 objectives
  • Understand the fundamental components and organization of computer architecture.
  • Analyze the role and functioning of the CPU and its internal components.
  • Explain the memory hierarchy and data flow within a computer system.
  • Examine instruction set architecture and how instructions are executed.
  • Explore input/output systems and data transfer mechanisms in computing.
  • Understand advanced concepts such as pipelining, parallelism, and memory management.
  • Evaluate storage systems and performance optimization techniques.
  • Recognize emerging trends and future directions in computer architecture.

Content Outline

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Unit 602: Computer Architecture Fundamentals

1. Introduction to Computer Architecture

  • Definition and importance of computer architecture
  • Core components overview: CPU, memory, input/output devices
  • How components interact to process data and execute instructions

2. Central Processing Unit (CPU)

2.1 CPU Role and Function

  • Overview of CPU as the 'brain' of the computer
  • Fetch-Decode-Execute cycle

2.2 CPU Components

  • Control Unit: role in instruction coordination
  • Arithmetic Logic Unit (ALU): performing arithmetic and logical operations
  • Registers: types and functions

2.3 Instruction Execution

  • Instruction cycle stages
  • How the CPU processes instructions

3. Memory Hierarchy

3.1 Levels of Memory

  • Cache memory: levels (L1, L2, L3), characteristics
  • Main memory (RAM): volatile storage
  • Secondary storage: hard drives, SSDs

3.2 Data Transfer Mechanisms

  • Data movement between memory levels
  • Concepts of latency and bandwidth

4. Instruction Set Architecture (ISA)

4.1 ISA Overview

  • Definition and role in computer architecture
  • Types of instruction sets: RISC vs CISC

4.2 Instruction Types

  • Data transfer, arithmetic, control, logical instructions

4.3 Addressing Modes

  • Immediate, direct, indirect, indexed addressing

4.4 Instruction Execution

  • How instructions are interpreted and executed by the CPU

5. Input/Output Systems

5.1 I/O Devices and Interfaces

  • Types of input and output devices
  • I/O controllers and ports

5.2 Data Transfer Techniques

  • Programmed I/O
  • Interrupt-driven I/O
  • Direct Memory Access (DMA)

5.3 Interrupts

  • Concept of interrupts and interrupt handling
  • Interrupt vector and priority

6. Pipelining and Parallelism

6.1 Pipelining Concepts

  • Definition and stages of pipeline
  • Pipeline hazards: structural, data, control

6.2 Parallelism in Computing

  • Instruction-level parallelism
  • Data-level parallelism
  • Thread-level and task-level parallelism

6.3 Benefits and Challenges

  • Performance improvements
  • Complexity and design considerations

7. Memory Management

7.1 Memory Allocation Techniques

  • Static vs dynamic allocation
  • Contiguous and non-contiguous allocation

7.2 Virtual Memory

  • Concept and purpose
  • Paging and segmentation

7.3 Memory Protection Mechanisms

  • Access control and protection rings
  • Address space isolation

8. Storage Systems

8.1 Types of Storage Media

  • Magnetic disks: HDDs
  • Solid-state drives (SSDs)
  • Optical storage: CDs, DVDs, Blu-ray

8.2 Characteristics and Performance

  • Speed, capacity, durability, cost
  • Use cases and trade-offs

9. Performance Evaluation and Optimization

9.1 Performance Metrics

  • Throughput, latency, clock speed, MIPS

9.2 Optimization Techniques

  • Cache optimization
  • Instruction set design considerations
  • Parallelism exploitation

9.3 Impact Factors

  • Cache size and levels
  • CPU clock speed
  • Pipeline design

10. Emerging Trends in Computer Architecture

10.1 Multicore Processors

  • Architecture and advantages
  • Challenges in parallel programming

10.2 Quantum Computing

  • Basic principles
  • Potential impact on computation

10.3 Neuromorphic Computing

  • Inspiration from biological neurons
  • Applications and challenges

10.4 Future Directions

  • Trends in energy efficiency
  • Integration of AI accelerators
  • Heterogeneous computing architectures
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Parent Course
Bachelor of Science in Computer Science

This unit is an integral part of the Bachelor of Science in Computer Science syllabus.

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