Boot time: choose your kernel loading address carefully

When the compressed and uncompressed kernel images overlap

At least on ARM32, there seems to be many working addresses where the compressed kernel can be loaded in RAM. For example, one can load the compressed kernel at offset 0x1000000 (16 MB) from the start of RAM, and the Device Tree Blog (DTB) at offset 0x2000000 (32 MB). Whatever this loading address, the kernel is then decompressed at offset 0x8000 from the start of RAM, as explained this the famous How the ARM32 Linux kernel decompresses article from Linus Walleij.

There is a potential issue with the loading address of the compressed kernel, as explained in the article too. If the compressed kernel is loaded too close to the beginning of RAM, where the kernel must be decompressed, there will be an overlap between the two. The decompressed kernel will overwrite the compressed one, potentially breaking the decompression process.

Overlapping compressed and decompressed kernel

As you see in the above diagram, when this happens, the bootstrap code in the compressed kernel will first copy the compressed image to a location that’s far enough to guarantee that the decompressed kernel won’t overlap it. However, this extra step in the boot process has a cost.

Measuring boot time impact

In the context of updating our materials for our upcoming Embedded Linux Boot Time Optimization course in June, we measured this additional time on the STM32MP157A-DK1 Discovery Kit from STMicroelectronics, with a dual-core ARM Cortex-A7 CPU running at 650 MHz.

Initially, in our Embedded Linux System Development course, we were booting the DK1 board as follows:

ext4load mmc 0:4 0xc0000000 zImage; ext4load mmc 0:4 0xc4000000 dtb; bootz 0xc0000000 - 0xc4000000

0xc0000000 is exactly the beginning of RAM! We are therefore in the overlap situation.

We used grabserial from Tim Bird to measure the time between Starting kernel in U-Boot and when the compressed kernel starts executing (Booting Linux on physical CPU 0x0):

...
[4.451996 0.000124] Starting kernel ...
[0.001838 0.001838] 
[2.439980 2.438142] [    0.000000] Booting Linux on physical CPU 0x0
...

On a series of 5 identical tests, we obtained an average time of 2,440 ms, with a standard deviation of 0.4 ms.

Then, we measured the optimum case, in which the compressed kernel is loaded far enough from the beginning of RAM so that no overlap is possible:

No overlap between compressed and decompressed kernel

Here we chose to load the kernel at 0xc2000000:

ext4load mmc 0:4 0xc2000000 zImage; ext4load mmc 0:4 0xc4000000 dtb; bootz 0xc2000000 - 0xc4000000

On a series of 5 identical tests, we obtained an average time of 2,333 ms, with a standard deviation of 0.7 ms.

The new average is 107 ms smaller, which you are likely to consider as a worthy reduction, if you have experience with boot time reduction projects.

What to remember

In your embedded projects, if you are using a compressed kernel, make sure it is loaded far enough from the beginning of RAM, leaving enough space for the decompressed kernel to fit in between. Otherwise, your system will still be able to boot, but depending on the speed of your CPU and storage, it will be slower, from a few tens to a few hundreds of milliseconds.

We checked the How to optimize the boot time page on the STM32 wiki, and it recommends optimum loading addresses: 0xc2000000 for the kernel and 0xc4000000 for the device tree. This way, the upper limit for the decompressed kernel is 32 MB, which is more than enough.

If you are directly using an uncompressed kernel, which is more rare, you should also make sure that it is loaded at an optimum location, so that there is no need to move it before starting it.

Large Page Support for NAS systems on 32 bit ARM

The need for large page support on 32 bit ARM

Storage space has become more and more affordable to a point that it is now possible to have multiple hard drives of dozens of terabytes in a single consumer-grade device. With a few 10 TiB hard drives and thanks to RAID technology, storage capacities that exceed 16 or 32 TiB can easily be reached and at a relatively low cost.

However, a number of consumer NAS systems used in the field today are still based on 32 bit ARM processors. The problem is that, with Linux on a 32 bit system, it’s only possible to address up to 16 TiB of storage space. This is still true even with the ext4 filesystem, even though it uses 64 bit pointers.

We were lucky to have a customer contracting us to update older Large Page Support patches to a recent version of the Linux kernel. This set of patches are one way of overcoming this 16 TiB limitation for ARM 32-bit systems. Since updating this patch series was a non trivial task, we are happy to share the results of our efforts with the community, both through this blog post and through a patch series we posted to the Linux ARM kernel mailing list: ARM: Add support for large kernel page (from 8K to 64K).

How Large Page Support works

The 16 TiB limitation comes from the use of page->index which is a pgoff_t offset type corresponding to unsigned long. This limits us to a 32-bit page offsets, so with 4 KiB physical pages, we end up with a maximum of 16 TiB. A way to address this limitation is to use larger physical pages. We can reach 32 TiB with 8 KiB pages, 64 TiB with 16 KiB pages and up to 256 TiB with 64 KiB pages.

Before going further, the ARM32 Page Tables article from Linus Walleij is a good reference to understand how the Linux kernel deals with ARM32 page tables. In our case, we are only going to cover the non LPAE case. As explained there, the way the Linux kernel sees the page tables actually doesn’t match reality. First, the kernel deals with 4 levels of page tables while on hardware there are only 2 levels. In addition, while the ARM32 hardware stores only 256 PTEs in Page Tables, taking up only 1 KB, Linux optimizes things by storing in each 4 KB page two sets of 256 PTEs, and two sets of shadow PTEs that are used to store additional metadata needed by Linux about each page (such as the dirty and accessed/young bits). So, there is already some magic between what is presented to the Linux virtual memory management subsystem, and what is really programmed into the hardware page tables. To support large pages, the idea is to go further in this direction by emulating larger physical pages.

Our series (and especially patch 5: ARM: Add large kernel page support) proposes to pretend to have larger hardware pages. The ARM 32-bit architecture only supports 4 KiB or 64 KiB page sizes, but we would like to support intermediate values of 8 KiB, 16 KiB and 32 KiB as well. So what we do to support 8 KiB pages is that we tell Linux the hardware has 8 KiB pages, but in fact we simply use two consecutive 4 KiB pages at the hardware level that we manipulate and configure simultaneously. To support 16 KiB pages, we use 4 consecutive 4 KiB pages, for 32 KiB pages, we use 8 consecutive pages, etc. So really, we “emulate” having larger page sizes by grouping 2, 4 or 8 pages together. Adding this feature only required a few changes in the code, mainly dealing with ranges of pages every time we were dealing with a single page. Actually, most of the code in the series is about making it possible to modify the hard coded value of the hardware page size and fixing the assumptions associated to such a fixed value.

In addition to this emulated mechanism that we provide for 8 KiB, 16 KiB, 32 KiB and 64 KiB pages, we also added support for using real hardware 64 KiB pages as part of this patch series.

Overall the number of changes is very limited (271 lines added, 13 lines removed), and allows to use much larger storage devices. Here is the diffstat of the full patch series:

 arch/arm/include/asm/elf.h                  |  2 +-
 arch/arm/include/asm/fixmap.h               |  3 +-
 arch/arm/include/asm/page.h                 | 12 ++++
 arch/arm/include/asm/pgtable-2level-hwdef.h |  8 +++
 arch/arm/include/asm/pgtable-2level.h       |  6 +-
 arch/arm/include/asm/pgtable.h              |  4 ++
 arch/arm/include/asm/shmparam.h             |  4 ++
 arch/arm/include/asm/tlbflush.h             | 21 +++++-
 arch/arm/kernel/entry-common.S              | 13 ++++
 arch/arm/kernel/traps.c                     | 10 +++
 arch/arm/mm/Kconfig                         | 72 +++++++++++++++++++++
 arch/arm/mm/fault.c                         | 19 ++++++
 arch/arm/mm/mmu.c                           | 22 ++++++-
 arch/arm/mm/pgd.c                           |  2 +
 arch/arm/mm/proc-v7-2level.S                | 72 ++++++++++++++++++++-
 arch/arm/mm/tlb-v7.S                        | 14 +++-
 16 files changed, 271 insertions(+), 13 deletions(-)

This patch series is running in production now on some NAS devices from a very popular NAS brand.

Limitations and alternatives

The submission of our patch series is recent but this feature has actually been running for years on many NAS systems in the field. Our new series is based on the original patchset, with the purpose of submitting it to the mainline kernel community. However, there is little chance that it will ever be merged into the mainline kernel.

The main drawback of this approach are large pages themselves: as each file in the page cache uses at least one page, the memory wasted increases as the size of the pages increases. For this reason, Linus Torvalds was against similar series proposed in the past.

To show how much memory is wasted, Arnd Bergmann ran some numbers to measure the page cache overhead for a typical set of files (Linux 5.7 kernel sources) for 5 different page sizes:

Page size (KiB) 4 8 16 32 64
page cache usage (MiB) 1,023.26 1,209.54 1,628.39 2,557.31 4,550.88
factor over 4K pages 1.00x 1.18x 1.59x 2.50x 4.45x

We can see that while a factor of 1.18 is acceptable for 8 KiB pages, a 4.45 multiplier looks excessive with 64 KiB pages.

Actually, to make it possible to address large volumes on 32 bit ARM, another solution was pointed out during the review of our series. Instead of using larger pages which have an impact on the entire system, an alternative is to modify the way the filesystem addresses the memory by using 64 bits pgoff_t offsets. This has already been implemented in vendor kernels running in some NAS systems, but this has never been submitted to mainline developers.