Pipelining is a technique used in modern processors to improve performance by executing multiple instructions simultaneously.
It breaks down the execution of instructions into several stages, where each stage completes a part of the instruction.
These stages can overlap, allowing the processor to work on different instructions at various stages of completion—similar to an assembly line in manufacturing.
In a pipelined processor, the pipeline has two ends: the input end and the output end.
Between these ends are multiple stages or segments, where the output of one stage is connected to the input of the next.
Each stage performs a specific operation independently.
To maintain the intermediate results between stages, interface registers (also known as latches or buffers) are used.
These registers store the output of one stage before it's passed to the next.
All stages in the pipeline, along with the interface registers, are synchronized by a common clock
The execution sequence of instructions in a pipelined processor can be visualized using a space-time diagram.
For example, consider a processor with 4 stages and 2 instructions to be executed.
The execution pattern would look like overlapping steps across clock cycles—showing how multiple instructions progress through different stages simultaneously.
A RISC processor typically uses a 5-stage instruction pipeline to execute instructions efficiently.
Each stage performs a specific operation, allowing multiple instructions to be processed in parallel.
-
Instruction Fetch (IF)
The CPU fetches the instruction from memory using the address stored in the Program Counter (PC). -
Instruction Decode (ID)
The instruction is decoded, and the register file is accessed to obtain the values of the source registers. -
Instruction Execute (EX)
The Arithmetic Logic Unit (ALU) performs operations such as addition, subtraction, etc., as specified by the instruction. -
Memory Access (MEM)
If required, data is read from or written to memory, based on the instruction. -
Write Back (WB)
The result from the execution or memory stage is written back into the destination register.
Each instruction passes through these stages in sequence, enabling overlapping execution and improved throughput due to pipelining.
Pipeline performance is primarily measured using two key metrics: Throughput and Latency.
- Measures the number of instructions completed per unit time.
- Indicates the overall processing speed of the pipeline.
- Higher throughput means faster processing.
- Formula:
Throughput = Number of instructions executed / Execution time - Affected by:
- Pipeline length
- Clock frequency
- Efficiency of instruction execution
- Pipeline hazards or stalls
- Measures the time taken for a single instruction to complete its execution.
- Indicates the delay or execution time per instruction through all pipeline stages.
- Lower latency means better performance.
- Formula:
Latency = Execution time / Number of instructions executed - Affected by:
- Pipeline depth and length
- Clock cycle time
- Instruction dependencies
- Pipeline hazards
-
Increased Throughput
Multiple instructions are processed simultaneously at different stages, improving the total number of instructions completed per unit time. -
Improved CPU Utilization
All parts of the processor are engaged at different stages, minimizing idle time and maximizing resource usage. -
Higher Instruction Throughput
Concurrent execution of different stages allows more instructions to be completed in less time compared to non-pipelined architectures. -
Better Performance for Repetitive Tasks
Ideal for loops and repeated instruction patterns, reducing the average execution time per instruction. -
Scalability
Easily implemented across a range of processors, from simple CPUs to advanced multi-core processors.
-
Pipeline Hazards
- Data Hazards: Dependencies between instructions
- Control Hazards: Branch instructions causing delays
- Structural Hazards: Limited hardware resources
- These hazards may introduce delays or require complex handling.
-
Increased Complexity
Design and management of a pipelined processor is more complex due to synchronization, hazard handling, and instruction tracking. -
Stall Cycles
Hazards can introduce pipeline stalls or bubbles, reducing the effective throughput and introducing idle stages. -
Instruction Latency
Although overall throughput improves, the latency for individual instructions may remain the same or even increase slightly due to pipeline overheads. -
Hardware Overhead
Additional pipeline registers and control logic increase the design complexity and cost of the processor.