Pipelining

Overview

Pipelining is a technique used in CPU architecture to increase processing efficiency by overlapping the different stages of instruction execution. By fetching the next instruction while the CPU is still processing the current one, pipelining helps speed up overall execution. Instructions are held in a buffer close to the processor until they can be executed, reducing idle time and maximising resource use.

Pipelining can be divided into two main types:

1. Instruction Pipeline
2. Arithmetic Pipeline Understanding these two types of pipelines gives insight into how CPUs can execute instructions and perform complex calculations faster by dividing tasks into manageable stages.

Key Types of Pipelining

Instruction Pipeline

• Definition: The instruction pipeline breaks down the stages of instruction processing so multiple instructions can be handled simultaneously, each at a different stage.
• Stages of the Instruction Pipeline:
  1. Fetch: The next instruction is fetched from memory and held in the instruction buffer.
  2. Decode: The fetched instruction is decoded by the Control Unit to identify the necessary actions and resources.
  3. Execute: The decoded instruction is executed, often by the ALU for arithmetic or logical operations.
  4. Write-back: Results of the executed instruction are written to the appropriate registers or memory location.
• Purpose and Function: By breaking down instruction processing into these sequential stages, the CPU can work on different parts of multiple instructions at the same time. For example, while one instruction is in the fetch stage, another can be in decode, and another can be in execution.
• Effect on Performance: The instruction pipeline increases the throughput of the CPU by allowing it to process multiple instructions concurrently, reducing idle time.

Arithmetic Pipeline

• Definition: The arithmetic pipeline is specifically designed for complex arithmetic calculations, where operations can be broken down into smaller, sequential steps.
• Stages in the Arithmetic Pipeline:
  • For complex operations like floating-point calculations or large integer multiplications, the calculation can be divided into stages, where each part is completed before moving to the next.
• Purpose and Function: Different parts of an arithmetic operation are processed in parallel across the stages of the pipeline, allowing the CPU to handle complex calculations more efficiently.
• Effect on Performance: The arithmetic pipeline is particularly useful in applications that require intensive calculations, such as graphics rendering, scientific simulations, and engineering computations. By overlapping parts of the arithmetic operations, the CPU can perform these tasks faster and more efficiently.

Advantages of Pipelining

• Increased Instruction Throughput: Pipelining allows multiple instructions to be in progress simultaneously, so the CPU can handle more instructions in a given time frame.
• Reduced Execution Time: By overlapping stages, pipelining minimises the waiting time between instructions, making the CPU's execution time for each instruction closer to a single clock cycle.
• Efficient Use of CPU Resources: Pipelining keeps the CPU's resources (e.g., ALU, registers) active as much as possible, reducing idle times and making better use of the processor's capabilities.

Limitations of Pipelining

• Dependency Hazards: If one instruction depends on the result of a previous instruction that hasn't yet been completed, a data hazard can occur, causing delays.
• Branching Issues: Branch instructions (e.g., loops or conditionals) can disrupt the pipeline, as the CPU might fetch instructions that are not needed if the branch changes the flow.
• Pipeline Stalls: In some cases, the pipeline must wait for specific operations to complete, causing delays known as pipeline stalls.

Note Summary