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
PreviewUnit 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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