First time on the Embedded Open Source Summit: talking about the rpi5

Some weeks ago I attended for the first time the Embedded Open Source Summit. Igalia had a booth that allowed to showcase the work that we have been doing during the past years. Several igalians also gave talks there.

I gave a talk titled “Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driver for a New GPU”, where I provided an introduction about Igalia contributions to maintain the OpenGL/Vulkan stack for the Raspberry Pi, focusing on the challenges to implement the Mesa support for the Raspberry Pi 5, the last device from that series, that was release on October 2023.

In you are interested, the video and slides of my presentation is now available:

https://static.sched.com/hosted_files/eoss24/78/2024-04-eoss-apinheiro-rpi5.pdf

And as a bonus, you can see here a video showing the RPI5 running some Unreal Engine 4 Demos, and other applications:

v3dv status update 2023-01

We haven’t posted updates to the work done on the V3DV driver since
we announced the driver becoming Vulkan 1.2 Conformant

But after reaching that milestone, we’ve been very busy working on more improvements, so let’s summarize the work done since then.

Moved more functionality to the GPU

Our implementation for Events and Occlusion Queries were both mostly CPU based. We have refactored both features with a new GPU-side implementation based on the use of compute shaders.

In addition to be more “the Vulkan way”, has additional benefits. For example, for the case of the events, we no longer need to stall on the CPU when we need to handle GPU-side event commnds, and allowed to re-enable sync_fd import/export.

VK_KHR_sampler_ycbcr_conversion

We have just landed a real implementation for this extension, based on the work of Ella Stanforth as part of her Igalia Coding Experience with us. This was a really complex work, as this feature added support for multi-plane formats, and needed to modify various parts of the driver. A big kudos to Ella for getting this tricky feature going. Also thanks to Jason Ekstrand, as he worked on a common Mesa framework for ycbcr support.

Support for new extensions

Since 1.2 got announced the following extension got exposed:

VK_EXT_texel_buffer_alignment
VK_KHR_maintenance4
VK_KHR_zero_initialize_workgroup_memory
VK_KHR_synchronization2
VK_KHR_workgroup_memory_explicit_layout
VK_EXT_tooling_info (0 tools exposed though)
VK_EXT_border_color_swizzle
VK_EXT_shader_module_identifier
VK_EXT_depth_clip_control
VK_EXT_attachment_feeback_loop_layout
VK_EXT_memory_budget
VK_EXT_primitive_topology_list_restart
VK_EXT_load_store_op_none
VK_EXT_image_robustness
VK_EXT_pipeline_robustness
VK_KHR_shader_integer_dot_product

Some miscellanea

In addition to those, we also worked on the following:

Implemented heuristic to decide to enable double-buffer mode, that could help to improve performance on some cases. It still needs to be enabled through the V3D_DEBUG environment variable.
Getting v3dv and v3d using the same shader optimization method, that would allow to reuse more code between the OpenGL and Vulkan driver.
Getting the driver working with the fossilize-db tools
Bugfixing, mostly related to bugs identified through new Khronos CTS releases

Playing with the rpi4 CPU/GPU frequencies

In recent days I have been testing how modifying the default CPU and GPU frequencies on the rpi4 increases the performance of our reference Vulkan applications. By default Raspbian uses 1500MHz and 500MHz respectively. But with a good heat dissipation (a good fan, rpi400 heat spreader, etc) you can play a little with those values.

One of the tools we usually use to check performance changes are gfxreconstruct. This tools allows you to record all the Vulkan calls during a execution of an aplication, and then you can replay the captured file. So we have traces of several applications, and we use them to test any hypothetical performance improvement, or to verify that some change doesn’t cause a performance drop.

So, let’s see what we got if we increase the CPU/GPU frequency, focused on the Unreal Engine 4 demos, that are the more shader intensive:

Unreal Engine 4 demos FPS chart

So as expected, with higher clock speed we see a good boost in performance of ~10FPS for several of these demos.

Some could wonder why the increase on the CPU frequency got so little impact. As I mentioned, we didn’t get those values from the real application, but from gfxreconstruct traces. Those are only capturing the Vulkan calls. So on those replays there are not tasks like collision detection, user input, etc that are usually handled on the CPU. Also as mentioned, all the Unreal Engine 4 demos uses really complex shaders, so the “bottleneck” there is the GPU.

Let’s move now from the cold numbers, and test the real applications. Let’s start with the Unreal Engine 4 SunTemple demo, using the default CPU/GPU frequencies (1500/500):

Even if it runs fairly smooth most of the time at ~24 FPS, there are some places where it dips below 18 FPS. Let’s see now increasing the CPU/GPU frequencies to 1800/750:

Now the demo runs at ~34 FPS most of the time. The worse dip is ~24 FPS. It is a lot smoother than before.

Here is another example with the Unreal Engine 4 Shooter demo, already increasing the CPU/GPU frequencies:

Here the FPS never dips below 34FPS, staying at ~40FPS most of time.

It has been around 1 year and a half since we announced a Vulkan 1.0 driver for Raspberry Pi 4, and since then we have made significant performance improvements, mostly around our compiler stack, that have notably improved some of these demos. In some cases (like the Unreal Engine 4 Shooter demo) we got a 50%-60% improvement (if you want more details about the compiler work, you can read the details here).

In this post we can see how after this and taking advantage of increasing the CPU and GPU frequencies, we can really start to get reasonable framerates in more demanding demos. Even if this is still at low resolutions (for this post all the demos were running at 640×480), it is still great to see this on a Raspberry Pi.

Improving v3dv pipeline caching

Iago wrote recently a blog post about performance improvements on the v3d compiler, and introduced our plans to improve the pipeline caching (specifically the compiled shaders) (full blog here). We merged some improvements recently, so let’s talk about that work.

Pipeline cache improvements

While analysing the perfomance of RBDOOM-3-BFG, we noticed that some significant CPU time was spent every frame for linking shaders.

After some investigation, we found that the game was calling ClearAttachment twice every frame. The implementation of those ClearAttachments was relying on a full job with a graphics pipeline. On v3dv by default any pipeline is created with a pipeline cache (provided by the user, or a default pipeline). On v3dv (and in general any Vulkan driver) the main cached data are the compiled shaders, so the main objective of the pipeline cache is avoiding full shader re-compilation on compatible pipelines that are used really often. Why was that time spent on linking shaders?

The issue was that for each pipeline lookup on the pipeline cache we were doing two cache lookups. The first one against a cache with the shaders in NIR, that is the main intermediate representation for shaders in Mesa (more info about intermediate representation here). And then we used those shaders to fill up the key for a second cache lookup, that if succesful, will return the compiled shader on Broadcom (QPU) assembly format.

The reason of this two-step lookup is that to compile a shader we call the common (for both OpenGL and Vulkan) Broadcom compiler, and we use some data structures that contain info that will affect the compilation (like if blending is enabled). When we implemented the pipeline cache support, for simplicity, we used the same data structures as part of the cache key. But as such keys were filled with info coming from the NIR shaders, those needed to be linked together on the case of the graphics pipelines.

When we analyzed how to improve it, we realized that in order to identify the compiled shader, we don’t really need the NIR shaders, as the info derived from them are implicit to the SPIR-V shaders provided to create the pipeline. Those NIR shaders are only really needed to compile the shader. The improvement here was using a different data structure as part of the cache key, and replace the two-cache-lookup with a one-cache-lookup. We needed to do some additional changes, as there were parts of the code that assumed that the NIR shaders would be available, but now if possible we are skipping getting them.

Numbers

Let’s start showing the improvement with a synthetic test. We took one CTS test using a complex shader, and forced the pipeline to be re-recreated 1000 times. So we get the following times:

Before this work, disabling pipeline cache: 125,79 seconds
Before this work, enabling pipeline cache (default): 11,41 seconds
With this work, enabling pipeline chache: 0,87 seconds

That’s a clear improvement. So how about real applications? As mentioned we started this work after analyze RBDOOM-3-BFG use of ClearAttachment. That game got an improvement of ~1fps. But when we tested other games we didn’t get any improvement on that case. This is because using a full job for ClearAttachment isn’t the preferred option (it is in fact the slowest path), and because the other games are GPU limited.

But we got improvements on other cases. As mentioned the advantage of creating the pipeline with a hot cache is that we avoid the shader recompilation, so it is far faster. And there are some apps that create pipelines at runtime. We found that this happens with the Unreal Engine 4 demos, specifically the Shooter Game. So, for example, we start the demo like this:

and then we decide to shot for the first time:

in order to render the shooting effect, new pipelines are created, and several shaders are compiled. Due all that extra work we experiment a noticiable FPS hiccup. We can visualize it with this graph:

On that graph we can see how we go from ~25fps to ~2fps. That is the shooting moment.

For this cases, the ideal would be to start the game with a pipeline cache loaded with the outcome of previous executions of the game. So adding a hack to simulate that situation, and focusing on the relevant stat in this case, that is the minimum FPS, we get the following:

Cold cache: ~2fps
Hot cache, before this work: ~6fps
Hot cache, with this work: ~8fps

on-disk-cache

As mentioned, the ideal would be that the applications used a pipeline cache when creating the pipelines, and that they stored the content on disk, and loaded it on following executions. Among other things, because the application would have more control about what to store and load at each moment (like for example: store/load the pipeline cache for a given level of a game).

The reality is that not all the applications do that. As mentioned, the numbers of the previous situation was simulating that ideal situation, but the application was not doing that. In order to mitigate that, we added support for on-disk-cache. Mesa provides a framework to store and load shaders on disk, so basically for any pipeline cacke lookup, now we have an extra fallback. In this case, for the UE4 Shooter demo, for a hot on-disk-cache we get a minimum of ~7fps, that as expected, is better that the situation before our work, but worse that the ideal case of the application handling the store/load of the pipeline cache on disk.

Some conclusions

So some conclusions from this work, that applies to any Vulkan driver, not only v3dv in particular:

If possible, pre-create all the pipelines that you would use during your application runtime. Creating pipelines during runtime, even if cached, could lead to performance hiccups.
If that is not possible (for example if the variable combination is too high), use pipeline cache, and store/load them on-disk. This would reduce the loading time, and make the runtime performance hiccups less noticiable. Note that having support for general on-disk-cache doesn’t mean that v3dv will do this for you.

v3dv status update 2021-02-03

So some months have passed since our last update, when we announced that v3dv became Vulkan 1.0 conformant. The main reason for not publishing so many posts is that we saw the 1.0 checkpoint as a good moment to hold on adding new big features, and focus on improving the codebase (refactor, clean-ups, etc.) and the already existing features. For the latter we did a lot of work on performance. That alone would deserve a specific blog post, so in this one I will summarize the other stuff we did.

New features

Even if we didn’t focus on adding new features, we were still able to add some:

The following optional 1.0 features were enabled: logicOp, althaToOne, independentBlend, drawIndirectFirstInstance, and shaderStorageImageExtendedFormats.
Added support for timestamp queries.
Added implementation for VK_KHR_maintenance1, VK_EXT_private_data, and VK_KHR_display extensions
Added support for Wayland WSI.

Here I would like to highlight that we started to get feature contributions out of the initial core of developers that created the driver. VK_KHR_display was submitted by Steven Houston, and Wayland WSI support was submitted by Ella-0. Thanks a lot for it, really appreciated! We hope that this would begin a trend of having more things implemented by the rpi/mesa community as a whole.

Bugfixing and vulkan tools

Even if the driver got conformant, we were still testing the driver with several demos and applications, and provided fixes. As a example, we got Sascha Willem’s oit (Order Independent Transparency) working:

Among those applications that we were testing, we can highlight renderdoc and gfxreconstruct. The former is a frame-capture based graphics debugger and the latter is a tool that allows to capture and replay several frames. Both tools are heavily used when debugging and testing vulkan applications. We tested that they work on the rpi4 (fixing some bugs while doing it), and also started to use them to help/guide the performance work we are doing.

Fosdem 2021

If you are interested on an overview of the development of the driver during the last year, we are going to present “Overview of the Open Source Vulkan Driver for Raspberry Pi 4” on FOSDEM this weekend (presentation details here).

Previous updates

Just in case you missed any of the updates of the vulkan driver so far:

Vulkan raspberry pi first triangle
Vulkan update now with added source code
v3dv status update 2020-07-01
V3DV Vulkan driver update: VkQuake1-3 now working
v3dv status update 2020-07-31
v3dv status update 2020-09-07
Vulkan update: we’re conformant!

v3dv status update 2020-07-31

Iago talked recently about the work done testing and supporting well known applications, like the Vulkan ports of the Quake1, Quake 2 and Quake3. Let’s go back here to the lastest news on feature and bugfixing work.

Pipeline cache

Pipeline cache objects allow the result of pipeline construction to be reused. Usually (and specifically on our implementation) that means caching compiled shaders. Reuse can be achieved between pipelines creation during the same application run by passing the same pipeline cache object when creating multiple pipelines. Reuse across runs of an application is achieved by retrieving pipeline cache contents in one run of an application, saving the contents, and using them to preinitialize a pipeline cache on a subsequent run.

Note that it may happens that a pipeline cache would not improve the performance of an application once it starts to render. This is because application developers are encouraged to create all the pipelines in advance, to avoid any hiccup during rendering. On that situation pipeline cache would help to reduce load times. In any case, that is not always avoidable. In that case the pipeline cache would allow to reduce the hiccup, as a cache hit is far faster than a shader recompilation.

One specific detail about our implementation is that internally we keep a default pipeline cache, used if the user doesn’t provide a pipeline cache when creating a pipeline, and also to cache the custom shaders we use for internal operations. This allowed to simplify our code, discarding some custom caches that were already implemented.

Uniform/storage texel buffer

Uniform texel buffers define a tightly-packed 1-dimensional linear array of texels, with texels going through format conversion when read in a shader in the same way as they are for an image. They are mostly equivalent to OpenGL buffer texture, so you can see them as textures backed up by a VkBuffer (through a VkBufferView). With uniform texel buffers you can only do a formatted load.

Storage texel buffers are the equivalent concept, but applied to images instead of textures. Unlike uniform texel buffers, they can also be written to in the same way as for storage images.

Multisampling

Multisampling is a technique that allows to reduce aliasing artifacts on images, by by sampling pixel coverage at multiple subpixel locations and then averaging subpixel samples to produce a final color value for each pixel. We have already started working on this feature, and included some patches on the development branch, but it is still a work in progress. Having said so, it is enough to get Sascha Willems’s basic multisampling demo working:

Sascha Willems multisampling demo run on rpi4

Bugfixing

Again, in addition to work on specific features, we also spent some time fixing specific driver bugs, using failing Vulkan CTS tests as reference. So let’s take a look of some screenshots of Sascha Willem’s demos that are now working:

Sascha Willems deferred demo run on rpi4

Sascha Willems texture array demo run on rpi4

Sascha Willems Compute N-Body demo run on rpi4

We plan to work on supporting the following features next:

Robust access
Multisample (finish it)

Previous updates

Just in case you missed any of the updates of the vulkan driver so far:

Vulkan raspberry pi first triangle
Vulkan update now with added source code
v3dv status update 2020-07-01
V3DV Vulkan driver update: VkQuake1-3 now working

v3dv status update 2020-07-01

About three weeks ago there was a big announcement about the update of the status of the Vulkan effort for the Raspberry Pi 4. Now the source code is public. Taking into account the interest that it got, and that now the driver is more usable, we will try to post status updates more regularly. Let’s talk about what’s happened since then.

Input Attachments

Input attachment is one of the main sub-features for Vulkan multipass, and we’ve gained support since the announcement. On Vulkan the support for multipass is more tightly supported by the API. Renderpasses can have multiple subpasses. These can have dependencies between each other, and each subpass define a subset of “attachments”. One attachment that is easy to understand is the color attachment: This is where a given subpass writes a given color. Another, input attachment, is an attachment that was updated in a previous subpass (for example, it was the color attachment on such previous subpass), and you get as a input on following subpasses. From the shader POV, you interact with it as a texture, with some restrictions. One important restriction is that you can only read the input attachment at the current pixel location. The main reason for this restriction is because on tile-based GPUs (like rpi4) all primitives are batched on tiles and fragment processing is rendered one tile at a time. In general, if you can live with those restrictions, Vulkan multipass and input attachment will provide better performance than traditional multipass solutions.

If you are interested in reading more details on this, you can check out ARM’s very nice presentation “Vulkan Multipass mobile deferred done right”, or Sascha Willems’ post “Vulkan input attachments and sub passes”. The latter also includes information about how to use them and code snippets of one of his demos. For reference, this is how the input attachment demos looks on the rpi4:

Sascha Willems inputattachment demos run on rpi4

Compute Shader

Given that this was one of the most requested features after the last update, we expect that this will be likely be the most popular news from this post: Compute shaders are now supported.

Compute shaders give applications the ability to perform non-graphics related tasks on the GPU, outside the normal rendering pipeline. For example they don’t have vertices as input, or fragments as output. They can still be used for massivelly parallel GPGPU algorithms. For example, this demo from Sascha Willems uses a compute shader to simulate cloth:

Sascha Willems Compute Cloth demos run on rpi4

Storage Image

Storage Image is another recent addition. It is a descriptor type that represents an image view, and supports unfiltered loads, stores, and atomics in a shader. It is really similar in most other ways to the well-known OpenGL concept of texture. They are really common with compute shaders. Compute shaders will not render (they can’t) directly any image, and it is likely that if they need an image, they will update it. In fact the two Sascha Willem demos using storage images also require compute shader support:

Sascha Willems compute shader demos run on rpi4

Sascha Willems compute raytracing demo run on rpi4

Performance

Right now our main focus for the driver is working on features, targetting a compliant Vulkan 1.0 driver. Having said so, now that we both support a good range of features and can run non-basic applications, we have devoted some time to analyze if there were clear points where we could improve the performance. Among these we implemented:
1. A buffer object (BO) cache: internally we are allocating and freeing really often buffer objects for basically the same tasks, so there are a constant need of buffers of the same size. Such allocation/free require a DRM call, so we implemented a BO cache (based on the existing for the OpenGL driver) so freed BOs would be added to a cache, and reused if a new BO is allocated with the same size.
2. New code paths for buffer to image copies.

Bugfixing!!

In addition to work on specific features, we also spent some time fixing specific driver bugs, using failing Vulkan CTS tests as reference. Thanks to that work, the Sascha Willems’ radial blur demo is now properly rendering, even though we didn’t focus specifically on working on that demo:

Sascha Willems radial blur demo run on rpi4

Next?

Now that the driver supports a good range of features and we are able to test more applications and run more Vulkan CTS Tests with all the needed features implemented, we plan to focus some efforts towards bugfixing for a while.

We also plan to start to work on implementing the support for Pipeline Cache, which allows the result of pipeline construction to be reused between pipelines and between runs of an application.

v3dv: quick guide to build and run some demos

Just today it has published a status update of the Vulkan effort for the Raspberry Pi 4, including that we are moving the development of the driver to an open repository. As it is really likely that some people would be interested on testing it, even if it is not complete at all, here you can find a quick guide to compile it, and get some demos running.

Dependencies

So let’s start installing some dependencies. My personal recipe, that I use every time I configure a new machine to work on mesa is the following one (sorry if some extra unneeded dependencies slipped):

sudo apt-get install libxcb-randr0-dev libxrandr-dev \
        libxcb-xinerama0-dev libxinerama-dev libxcursor-dev \
        libxcb-cursor-dev libxkbcommon-dev xutils-dev \
        xutils-dev libpthread-stubs0-dev libpciaccess-dev \
        libffi-dev x11proto-xext-dev libxcb1-dev libxcb-*dev \
        bison flex libssl-dev libgnutls28-dev x11proto-dri2-dev \
        x11proto-dri3-dev libx11-dev libxcb-glx0-dev \
        libx11-xcb-dev libxext-dev libxdamage-dev libxfixes-dev \
        libva-dev x11proto-randr-dev x11proto-present-dev \
        libclc-dev libelf-dev git build-essential mesa-utils \
        libvulkan-dev ninja-build libvulkan1 python-mako \
        libdrm-dev libxshmfence-dev libxxf86vm-dev \
        python3-mako

Most Raspian libraries are recent enough, but they have been updating some of then during the past months, so just in case, don’t forget to update:

$ sudo apt-get update
$ sudo apt-get upgrade

Additionally, you woud need to install meson. Mesa has just recently bumped up the version needed for meson, so Raspbian version is not enough. There is the option to build meson from the tarball (meson-0.52.0 here), but by far, the easier way to get a recent meson version is using pip3:

$ pip3 install meson

2020-07-04 update

It seems that some people had problems if they have installed meson with apt-get on their system, as when building it would try the older meson version first. For those people, they were able to fix that doing this:

$ sudo apt-get remove meson
$ pip3 install --user meson

Download and build v3dv

This is the simpler recipe to build v3dv:

$ git clone https://gitlab.freedesktop.org/apinheiro/mesa.git mesa
$ cd mesa
$ git checkout wip/igalia/v3dv
$ meson --prefix /home/pi/local-install --libdir lib -Dplatforms=x11,drm -Dvulkan-drivers=broadcom -Ddri-drivers= -Dgallium-drivers=v3d,kmsro,vc4 -Dbuildtype=debug _build
$ ninja -C _build
$ ninja -C _build install

2020-11-25 update

Now v3dv is merged on Mesa upstream, so in order to clone the repository now you just need to do this:

$ git clone https://gitlab.freedesktop.org/mesa/mesa.git

This builds and install a debug version of v3dv on a local directory. You could set a release build, or any other directory. The recipe is also building the OpenGL driver, just in case anyone want to compare, but if you are only interested on the vulkan driver, that is not mandatory.

Run some Vulkan demos

Now, the easiest way to ensure that a vulkan program founds the drivers is setting the following envvar:

export VK_ICD_FILENAMES=/home/pi/local-install/share/vulkan/icd.d/broadcom_icd.armv7l.json

That envvar is used by the Vulkan loader (installed as one of the dependencies listed before) to know which library load. This also means that you don’t need to use LD_PRELOAD, LD_LIBRARY_PATH or similar

So what Vulkan programs are working? For example several of the Sascha Willem Vulkan demos. To make things easier to everybody, here another quick recipe of how to get them build:

$ sudo apt-get install libassimp-dev
$ git clone --recursive https://github.com/SaschaWillems/Vulkan.git  sascha-willems
$ cd sascha-willems
$ mkdir build; cd build
$ cmake -DCMAKE_BUILD_TYPE=Debug  ..
$ make

Update 2020-08-03: When the post was originally written, some demos didn’t need to ask for extra assets. Recently the fonts were moved there, so you would need to gather the assests always:

$ cd ..
$ python3 download_assets.py

So in order to see a really familiar demo:

$ cd build/bin
$ ./gears

And one slightly more complex:

$./scenerendering

As mentioned, not all the demos works. But a list of some that we tested and seem to work:
* distancefieldfonts
* descriptorsets
* dynamicuniformbuffer
* gears
* gltfscene
* imgui
* indirectdraw
* occlusionquery
* parallaxmapping
* pbrbasic
* pbribl
* pbrtexture
* pushconstants
* scenerendering
* shadowmapping
* shadowmappingcascade
* specializationconstants
* sphericalenvmapping
* stencilbuffer
* textoverlay
* texture
* texture3d
* texturecubemap
* triangle
* vulkanscene

Update : rpiMike on the comments, and some people privately, have pointed some errors on the post. Thanks! And sorry for the inconvenience.

Update 2 : Mike Hooper pointed more issues on gitlab