Extended System Coherency - Part 1 - Cache Coherency Fundamentals

Chinese Version 中文版:扩展系统一致性 - 第 1 部分 - 缓存一致性基本信息


The theme of TechCon 2013 was “Where intelligence connects” and in many ways hardware system coherency is an important part of connecting the intelligence of an SoC. This year I presented "Extended System Coherency for Mobile and Beyond" which introduced the fundamentals of cache coherency, discussed implementations and looked at use cases. This blog is the first in a series and starts with cache coherency fundamentals.

[Part 2 & 3 now live:Extended System Coherency - Part 2 - Implementation, big.LITTLE, GPU Compute and Enterprise and Extended System Coherency - Part 3 – Increasing Performance and Introducing CoreLink CCI-500]

So what do we mean by ‘coherency’?

1-axi-system-300.pngLet’s go back to basics and ask what does coherency mean? Coherency is about ensuring all processors, or bus masters in the system see the same view of memory. For example if I have a processor which is creating a data structure then passing it to a DMA engine to move, both the processor and DMA must see the same data. If that data were cached in the CPU and the DMA reads from external DDR, the DMA will read old, stale data.

There are three mechanisms to maintain coherency:

  • Disable caching is the simplest mechanism but may cost significant CPU performance. To get the highest performance processors are pipe-lined to run at high frequency, and to run from caches which offer a very low latency. Caching of data that is accessed multiple times increases performance significantly and reduces DRAM accesses and power. Marking data as “non-cached” could impact performance and power.
  • Software managed coherency is the traditional solution to the data sharing problem. Here the software, usually device drivers, must clean or flush dirty data from caches, and invalidate old data to enable sharing with other processors or masters in the system. This takes processor cycles, bus bandwidth, and power.
  • Hardware managed coherency offers an alternative to simplify software. With this solution any cached data marked ‘shared’ will always be up to date, automatically. All processors and bus masters in that sharing domain see the exact same value.

Challenges with software coherency

A cache stores external memory contents close to the processor to reduce the latency and power of accesses. On-chip memory accesses are significantly lower power than external DRAM accesses.

Software managed coherency manages cache contents with two key mechanisms:

  • Cache Cleaning (flushing):
    • If any data stored in a cache is modified, it is marked as ‘dirty’ and must be written back to DRAM at some point in the future. The process of cleaning or flushing caches will force dirty data to be written to external memory.
  • Cache Invalidation:
    • If a processor has a local copy of data, but an external agent updates main memory then the cache contents are out of date, or ‘stale’. Before reading this data, the processor must remove the stale data from caches, this is known as ‘invalidation’ (a cache line is marked invalid). An example is a region of memory used as a shared buffer for network traffic which may be updated by a network interface DMA hardware; a processor wishing to access this data must invalidate any old stale copy before reading the new data.

Challenge 1: Software Complexity

Quote from a system architect at an application processor vendor:

“50% of debug time is spent on SW coherency issues as these are difficult to find and pinpoint”

Software coherency is hard to debug, the cache cleaning and invalidation must be done at the right time. If done too often it wastes power and CPU effort. If done too little it will result in stale data which may cause unpredictable application behavior, if not a crash. Debugging this is extremely difficult as it will present occasional data corruption.

“We would like to connect more devices with hardware coherency to simplify software and accelerate product schedules”

The quotes above are from an application processor vendor that is looking to connect more hardware accelerators and interfaces to a coherent interconnect to help reduce the time to market for new products.

Quote from a networking and modem partner:

“Only a few people in our software group understand the careful timing required to share data between the processor and radio subsystem. Scaling this to the 100’s strong software team is very difficult!”

Another partner building modem systems with a Cortex-A CPU is looking to hardware coherency to simplify software.

Challenge 2: Performance and power

Where there are high rates of sharing between requesters, the cost of software cache maintenance can be significant, and can limit performance. For example, ARM bench marking has found that for a networking application processing the header of every data packet might spend more than a third of the CPU cycles on cache maintenance. Part of the challenge is working out which data needs to be maintained. Worst case, the complete cache contents must be flushed, which may displace valuable data that needs to be read back from DRAM.

The chart below shows a simple example of DMA transfer performance for hardware vs software coherency. For this example the performance of hardware coherency increases as the amount of dirty data in processor caches increases (hit rate). This is because the software coherency version will take longer to clean and invalidate the cache if it has more dirty data.


Extending hardware coherency to the system


Hardware coherency is not a new concept. In fact, the first implementation at ARM is within the ARM11 MPCore processor. Here, up to 4 processor cores are integrated in a single cluster and can run as a “Symmetric Multi-Processor” (SMP) with visibility of each other’s L1 caches and shared L2. This technology is supported by all the latest ARM Cortex applications processors.

Extending hardware coherency to the system requires a coherent bus protocol, and in 2011 ARM released the AMBA 4 ACE specification which introduces the “AXI Coherency Extensions” on top of the popular AXI protocol. The full ACE interface allows hardware coherency between processor clusters and allows an SMP operating system to extend to more cores. With the example of two clusters, any shared access to memory can ‘snoop’ into the other cluster’s caches to see if the data is already on chip; if not, it is fetched from external memory (DDR).

The AMBA 4 ACE-Lite interface is designed for IO (or one-way) coherent system masters like DMA engines, network interfaces and GPUs. These devices may not have any caches of their own, but they can read shared data from the ACE processors. Alternatively, they may have caches but not cache shareable data.

While hardware coherency may add some complexity to the interconnect and processors, it massively simplifies the software and enables applications that would not be possible with software coherency. An example being big.LITTLE Global Task Scheduling.



Cache coherency is an important concept to understand when sharing data. Disabling caches can impact performance; software coherency adds overheads and complexity; and hardware coherency manages sharing automatically which can simplify software. The AMBA 4 ACE bus interface extends hardware cache coherency outside of the processor cluster and into the system.

The next blog in the series will explore implementations of hardware coherency and look at a range of applications ranging from mobile including big.LITTLE processing and GPU compute, to enterprise including networking and servers.

Click here for part 2: Extended System Coherency - Part 2 - Implementation, big.LITTLE, GPU Compute and Enterprise

Click here for part 3: Extended System Coherency - Part 3 – Increasing Performance and Introducing CoreLink CCI-500

  • Thank you Jon

    I have contacted ARM support separately & understood the hardware coherency part in CR5.

    Following is additional software coherency required in CR-5 based system, as quoted by ARM support:

    "software overhead will lie however, as even Normal type write-through memory transactions may not be seen externally for some time after they are executed due to the Cortex-R5's Store Buffer, so you would need to perform a barrier operation after every store operation to ensure the write is pushed out to L2 memory"

    I'm putting it here for other readers, you will be already aware of this.

  • Thank you Neil.

    I have contacted ARM support separately & have understood the functionality of CR5 based system through a series of discussions with detailed system diagrams.

  • Hi Milind,

    from what you describe, the Cortex-R5 ACP would support the functionality you want, ie with the hardware managing the coherency between the external master and the processor. When used in this manner, the R5 can only be used with write-through caching. You can find more details in the Cortex-R5 TRM: http://infocenter.arm.com/help/index.jsp?topic=/com.arm.doc.ddi0460d/CIAIIJCE.html

    kind regards,


  • Hi Milind,

    The ACP functionality will vary for different cores. Often this will be good for small accelerators that are tightly coupled with the processor. For higher bandwidth IO coherency the CCI products will offer much higher throughput and less loading on the CPU itself. The hardware IO coherency provided by CCI will mean that software cache maintenance should not be required for this IO traffic.

    The choice of Cortex-R5 or Cortex-A7 will depend a lot on the application and the kind of software you want to run. For example the Cortex-A series have full MMU and support full operating systems while the Cortex-R is optimized for real-time applications with more predictable latency.

    If you are an ARM silicon partner then feel free to contact your ARM account team for more detailed information on these processors.



  • Hi Neil,

    One proposed SoC system consists of:

    1) Single ARM CPU with L1 Cache & L2 memory

    2) One external master without any own cache and this master needs to have shared access to L2 memory.

    To maintain coherency, is the following system suitable?

      Single ARM CR5 processor with ACP port.

    Specifically, is the hardware coherency provided by ACP in this system is sufficient or is there need for some software coherency functions too?

    Whether CA7 & CCI based system for this one external master system will be needed/advantageous?

    The requirement is less latency & lower power, hence CR5 based system could be more favoured.

    Please provide your comments.