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Arm

What is the pipeline in cortex-M0?

Javier Massey
Last updated: September 15, 2023 12:19 pm
Javier Massey 7 Min Read
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The Cortex-M0 is a 32-bit ARM processor optimized for microcontroller applications. It is based on the ARMv6-M architecture and is designed to provide an efficient, low-cost solution for basic microcontroller needs.

Contents
Cortex-M0 Pipeline Stages1. Fetch2. Decode3. ExecuteCortex-M0 Pipeline OperationPipeline PerformancePipeline HazardsCortex-M0 Pipeline and MCU DesignConclusion

Like all modern processors, the Cortex-M0 utilizes a pipeline in order to improve performance. A pipeline allows the processor to work on multiple instructions simultaneously, increasing instruction throughput. Let’s take a closer look at how the pipeline works in the Cortex-M0.

Cortex-M0 Pipeline Stages

The Cortex-M0 pipeline consists of three main stages:

  1. Fetch – Instructions are fetched from memory
  2. Decode – Instructions are decoded into microoperations
  3. Execute – Microoperations execute through the execution units

By separating instruction processing into stages, the processor can work on multiple instructions concurrently. For example, while one instruction is being executed, the next instruction can be decoded and a third instruction can be fetched from memory.

1. Fetch

The fetch stage retrieves instructions from memory. It contains the following components:

  • Program counter (PC) – Holds the address of the next instruction to fetch
  • Instruction memory interface – Fetches instruction from instruction memory
  • Instruction prefetch queue – Small buffer that holds prefetched instructions

The PC indicates the address of the next instruction. This address is sent to the instruction memory interface, which fetches the instruction from memory. The instruction is stored in the prefetch queue until it is needed by the decode stage.

2. Decode

In the decode stage, instructions are decoded into microoperations. The decode stage contains:

  • Instruction decoder – Decodes instructions into microops
  • Register file – Holds register values
  • Pipeline register – Temporary storage between decode and execute

The instruction decoder takes instructions from the prefetch queue and interprets the opcode, generating the appropriate microops. These microops are stored in the pipeline register until the execute stage is ready for them.

3. Execute

The execute stage is where the actual computation happens based on the microops. It contains the following execution units:

  • Arithmetic logic unit (ALU) – Performs arithmetic and logical operations
  • Address generation unit – Calculates memory addresses for load/store ops
  • Data memory interface – Loads/stores data from data memory

The execution units take microops from the pipeline register and execute them. The ALU performs computations, the address generation unit handles memory addressing, and the data memory interface performs data transfers. Results are written back to the register file.

Cortex-M0 Pipeline Operation

Here is how instruction processing works across the Cortex-M0 pipeline:

  1. The PC indicates the address of the next instruction. This is sent to the instruction memory interface.
  2. The instruction memory interface fetches the instruction from memory and puts it in the prefetch queue.
  3. When the decode stage is free, the instruction is taken from the prefetch queue into the instruction decoder.
  4. The instruction decoder decodes the instruction into microops and places them in the pipeline register.
  5. When the execution units are available, the microops are taken from the pipeline register.
  6. The execution units execute the microops – ALU for computation, address generator for memory, etc.
  7. Results are written back to the register file.
  8. The PC is updated to point to the next instruction address.

This forms a processing pipeline, allowing up to three instructions to be worked on concurrently. While one instruction executes, the next decodes and a third fetches.

Pipeline Performance

The use of a pipeline in the Cortex-M0 provides several performance benefits:

  • Higher throughput – Multiple instructions process simultaneously through different pipeline stages
  • Faster clock speeds – Separating instruction processing into stages allows higher clock frequencies
  • Reduced stalls – Prefetch queue helps absorb delays in instruction fetch

Together, these advantages allow the simple, in-order Cortex-M0 pipeline to achieve up to 1.25 DMIPS/MHz. This provides good performance for basic microcontroller applications given the Cortex-M0’s small silicon size and low power consumption.

Pipeline Hazards

Like all pipelines, the Cortex-M0 pipeline is subject to hazards that can stall or flush the pipeline. Three main types of hazards can occur:

  • Structural hazards – Occur when instructions need the same execution resource. For example, two ALU instructions in a row would cause the second to stall.
  • Data hazards – Occur when an instruction depends on data from a previous instruction that has not yet completed. This causes pipeline stalls.
  • Control hazards – Occur when the instruction fetch sequence is disrupted, such as by branches and jumps. The pipeline may be flushed and refilled from the new address.

The Cortex-M0 uses pipeline techniques like register bypassing and hazard detection to help minimize stalls from data hazards. Branches disrupt the flow of instructions, but the small pipeline limits their impact. Overall, the simple in-order design helps avoid complex pipeline issues.

Cortex-M0 Pipeline and MCU Design

The Cortex-M0 pipeline is designed to balance performance and efficiency for microcontroller applications. Key design aspects include:

  • Three stage pipeline for basic performance
  • In-order execution simplifies control logic
  • Prefetch queue smoothes instruction fetch
  • Stall-avoidance techniques used where possible
  • Optional memory protection unit

For microcontroller designers, the Cortex-M0 pipeline provides an efficient foundation for building low-cost, low-power systems. The simple pipeline design with focused optimizations provides good performance for basic workloads. Developers can leverage the Cortex-M0 pipeline to create flexible, responsive microcontroller applications with efficient processor utilization.

Conclusion

The Cortex-M0 pipeline utilizes a three stage fetch-decode-execute design to improve throughput over non-pipelined execution. Overlapping instruction processing enables higher clock speeds while prefetching helps avoid fetch stalls. The streamlined in-order pipeline provides 1.25 DMIPS/MHz without complex logic. Hazards are minimized through techniques like bypassing and hazard detection. Overall, the Cortex-M0 pipeline provides an efficient baseline of performance for microcontroller applications where cost and power matter.

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