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Integrating AMBA Bus with Cortex-M1 in FPGA Designs

Jamie Kellett
Last updated: September 20, 2023 12:55 pm
Jamie Kellett 10 Min Read
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Integrating the AMBA (Advanced Microcontroller Bus Architecture) bus with a Cortex-M1 processor core in an FPGA (Field Programmable Gate Array) design provides several benefits. The key advantage is that it enables effective communication between the processor and other components in the system while optimizing performance. In this article, we will examine how to connect the AMBA bus to the Cortex-M1 CPU in an FPGA and walk through considerations for achieving an efficient overall implementation.

Contents
Overview of AMBA Bus and Cortex-M1AMBA Bus Protocol OverviewInterfacing Cortex-M1 CPU with AMBA AHBConnecting Memories and PeripheralsAMBA AHB Bus ArbitrationVerification of AMBA AHB Bus in FPGAOptimizing AMBA AHB ImplementationConclusion

Overview of AMBA Bus and Cortex-M1

The AMBA bus is an open-standard, on-chip interconnect specification developed by ARM for high-performance embedded microcontroller designs. It acts as the backbone for communication between master devices such as processors, DMA controllers, and peripherals in a SoC design. The AMBA protocol manages bus arbitration and enables high-bandwidth and low-latency data transfers.

The Cortex-M1 processor is a 32-bit RISC core designed for microcontroller applications. It has a 3-stage pipeline and includes features like branch prediction and prefetch to improve performance. The Cortex-M1 implements the ARMv6-M architecture and executes Thumb-2 instruction set. It includes embedded trace for debugging and supports multiple power-saving modes. The Cortex-M1 has a Memory Protection Unit and nested vectored interrupt controller.

Connecting the Cortex-M1 to an AMBA bus provides a streamlined method for it to access code and data from memories and communicate with peripherals. The bus architecture is optimized for on-chip communication in embedded systems. Integrating the two in an FPGA allows us to design and customize a high-performance SoC with processor, peripherals, and memory interfaces.

AMBA Bus Protocol Overview

The AMBA protocol defines an interconnect scheme for communication between bus masters, slaves, and arbiters. It supports high-frequency operation without needing complex centralized controllers. There are three main buses defined as part of AMBA:

  • AHB (Advanced High-performance Bus): For high-clock frequency, high-performance communication with features like pipelining and burst transfers.
  • APB (Advanced Peripheral Bus): For low-power peripherals that don’t require high-bandwidth transfers.
  • AXI (Advanced eXtensible Interface): For high-speed interconnect with multiple outstanding transactions.

In our Cortex-M1 FPGA design, we will mainly focus on the AHB bus protocol. The AHB acts as the high-performance system bus. It uses a central arbiter for bus arbitration. All bus masters like the CPU interface with this arbiter to gain access to the bus. The bus interconnects to AHB slaves like memories and peripherals.

The AHB bus uses a handshake mechanism to transfer address, controls signals, and data between master and slave. This handshake signaling optimizes performance at high clock frequencies. The bus operates at a single clock frequency synchronizing all components connected to it. It supports efficient burst transfers, split transactions, and device pipelining.

Interfacing Cortex-M1 CPU with AMBA AHB

The first step in integrating the Cortex-M1 and AMBA AHB bus in an FPGA design is connecting the processor’s system bus interface to the AHB. This gives the CPU access to the bus for initiating data transfers. Here are the key steps involved in this interface:

  1. Connect the M1 CPU’s HADDR, HWRITE, HSIZE, HBURST, and other system bus outputs to the AHB.
  2. Route the AHB’s HRDATA, HREADY, and response signals to the CPU interface.
  3. Synchronize all signals to the bus clock domain from the CPU clock if needed.
  4. Connect CPU control signals like fetch-enable, EXCEPTION interface to AHB arbiter.
  5. Handle variable CPU wait-states for slow memories using HREADY.

This enables the Cortex-M1 to act as a bus master and make transfer requests. The AHB arbiter will grant access to the bus based on priority arbitration. The processor can then communicate with slaves using the address, data and control signals.

Connecting Memories and Peripherals

The next aspect is connecting physical memories and peripherals as slaves to the AHB bus. These provide code and data storage for the processor and enable I/O operations.

For connecting memory interfaces like SRAM, Flash, etc. we need to:

  • Map the memory address range to the HADDR bus
  • Connect data, byte enables, and control signals
  • Add wait-state control logic for slow access if needed

The process for attaching peripherals like UART, SPI, Ethernet, etc. involves:

  • Assign peripheral address range on HADDR
  • Connect data bus, control signals like HWRITE, HSEL
  • Implement logic for internal registers access
  • Add burst transfer and wait-state support if needed

The memory and peripheral interfaces operate as AHB slaves. They respond to transfers initiated by the Cortex-M1 processor over the bus. Implementing custom logic in the FPGA fabric to translate AHB signals enables integrating different types of memories and peripherals.

AMBA AHB Bus Arbitration

A key role of the AMBA bus is arbitrating access between multiple masters trying to use the bus. This ensures only one master initiates a transfer at a time avoiding conflicts.

In our Cortex-M1 design, the CPU will be the main bus master. However, DMA controllers and other custom logic can also act as bus masters. For arbitrating between them, we need to implement an AHB arbiter in the FPGA fabric.

The arbiter takes transfer requests from different masters as inputs. It grants access to one master based on a priority scheme. The highest priority master is allowed to initiate its transfer. Once it completes the transfer, the arbiter gives access to the next master.

To integrate efficient arbitration, we have to:

  • Define relative priorities between all AHB masters.
  • Implement request and grant signals between masters and arbiter.
  • Route appropriate control signals from current master.
  • Handle master hand-off when transfer completes.

Proper priority assignment and hand-off handling is key to avoiding stalling and optimizing overall bus performance.

Verification of AMBA AHB Bus in FPGA

Once we complete integrating the Cortex-M1, bus interconnect and other components, the next step is verifying their functionality. We need to validation to ensure:

  • The CPU is able to access memories and peripherals correctly over the bus
  • Arbitration is working properly between multiple masters
  • Data integrity is maintained during transfers
  • The system meets timing closure and frequency requirements

We can perform simulation of the FPGA design using testbenches to validate functionality of the AMBA implementation. Modeling bus transactions and arbitration scenarios is key.

After design implementation, we must run timing analysis to identify any critical paths. Tweaking the bus interconnect logic and arbitration scheme may be required to meet frequency goals.

Hardware testing of the complete SoC on an FPGA board is also essential. We can write embedded C code running on the processor to validate if the integrated system works as expected. Debugging capabilities like signal taps prove useful during board bring-up.

Optimizing AMBA AHB Implementation

There are several ways in which we can optimize our AMBA AHB implementation in the FPGA to improve performance:

  • Pipelining: Pipelining the AHB bus interfaces improves transfer throughput. We can register bus signal connections between components to enable pipelining.
  • Burst Transfers: Supporting burst transfers allows the bus to handle sequential accesses efficiently. Bursts help amortize arbitration overhead.
  • Caching: Adding an AHB cache for the processor data accesses can greatly improve performance and reduce stalling during misses.
  • DMA Controllers: DMA allows offloading memory transfers from the CPU. Integrating DMA in the SoC design with AHB interfaces boosts efficiency.
  • Bus Width: Increasing the data bus width enables higher bandwidth. We can use 128 or 256-bit AHB implementations.

Tuning parameters like arbitration scheme, wait-states, and interconnect pipelining stages is key to balancing trade-offs like throughput, latency and cost.

Conclusion

In this article, we looked at techniques for integrating the AMBA AHB bus protocol with a Cortex-M1 processor in an FPGA design. Connecting the CPU and other bus masters, slaves, arbiters using the right interfaces is key. Verification and optimization of the bus implementation allows us to build an efficient SoC that meets system requirements.

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