Gpu

Last week marks the Mesa 26.1 branch point, and I wanted to take a moment to look back at what happened on the PanVK front. Spoiler: it was a busy one. The landscape PanVK - the Vulkan driver for Arm Mali GPUs (Valhall and newer) - is a collaborative effort. Collabora has been doing incredible work on the compiler backend and the foundational infrastructure. Arm themselves are actively contributing to the open source Mali GPU stack as well, reviewing patches and pushing driver quality forward. On the Igalia side, my focus this cycle was Vulkan extension coverage. The kind of work that doesn’t make for flashy demos but is absolutely critical for real-world application compatibility - especially for things like DXVK. ...

You might be familiar with mesamatrix - a nice site to track the state of all GPU drivers provided by Mesa. Ohh.. did I say all? Let’s have a closer look: This page is a graphical representation of the text file docs/features.txt from the Mesa repository. So wouldn’t it be sick to get etnaviv mentioned in docs/features.txt and onto the matrix? First mesamatrix needs to know/support etnaviv. This seems to be quite simple as there is already a pull request to add a bunch of embedded GPU drivers: Add VC4,VC5 and Vivante GPUs ...

After years of hard work the etnaviv team reached an other very important milestone. The gallium driver and the renderonly library got pushed into mesa’s git repository and will be released with mesa 17.0 - yeah! This does not mean we are done with development at all. There are many interesting topics to work on and some of them like better support for newer IP cores or a reworked GLSL compiler should see the light of day during the next months. ...

Last Friday I got kmscube successfully running with mesa and the new etnaviv DRM kernel driver. At this time I got it not really pixel perfect and I spend some nights to get it fixed. It turns out that I need a small mesa hack to get the rendering correct. You may ask why did it so long to get it working? Let me explain it to you. The Vivnate GPU is a so called render-only GPU which does not have any kind of scanout logic in it. It can only render to physical memory and this only in a tiled memory layout. So we need to use the resolve engine found on the GPU to de-tile the rendered image and blit it to the dumb buffer. Currently mesa has no software support for this kind of hardware, but I think that could change soon. ...

It took me some time to rework the device tree bindings but it looks like it starts to work! View the code on [Gist](https://gist.github.com/austriancoder/6196fa33011a120a01dd54dbd077a60d).Gets loaded into : [ 3.358155] vivante: module is from the staging directory, the quality is unknown, you have been warned. [ 3.373087] imx-sgtl5000 sound.15: sgtl5000 2028000.ssi mapping ok [ 3.379150] [drm] add child gpu2d [ 3.379154] [drm] add child gpu3d [ 3.380395] vivante-gpu 134000.gpu2d: pre gpu[idx]: 0x00000000 [ 3.380401] vivante-gpu 134000.gpu2d: adding core @idx 1 [ 3.380408] vivante-gpu 134000.gpu2d: post gpu[idx]: 0xecb56c10 [ 3.380460] vivante gpu-subsystem.11: bound 134000.gpu2d (ops gpu_ops [vivante]) [ 3.380467] vivante-gpu 130000.gpu3d: pre gpu[idx]: 0x00000000 [ 3.380473] vivante-gpu 130000.gpu3d: adding core @idx 0 [ 3.380479] vivante-gpu 130000.gpu3d: post gpu[idx]: 0xecb57210 [ 3.380502] vivante gpu-subsystem.11: bound 130000.gpu3d (ops gpu_ops [vivante]) [ 3.380533] IO:R f0200018 14010000 [ 3.380537] IO:R f0200020 00002000 [ 3.380540] IO:R f0200024 00005108 [ 3.380546] vivante gpu-subsystem.11: model: 2000 [ 3.380551] vivante gpu-subsystem.11: revision: 5108 [ 3.380554] IO:R f020001c e0296cad [ 3.380558] IO:R f0200034 c9799eff [ 3.380561] IO:R f0200074 2efbf2d9 [ 3.380564] IO:R f0200084 00000000 [ 3.380567] IO:R f0200088 00000000 [ 3.380572] vivante gpu-subsystem.11: minor_features: c9799eff [ 3.380578] vivante gpu-subsystem.11: minor_features1: 2efbf2d9 [ 3.380583] vivante gpu-subsystem.11: minor_features2: 0 [ 3.380588] vivante gpu-subsystem.11: minor_features3: 0 [ 3.380592] IO:R f0200000 00070100 [ 3.408629] IO:R f0200004 7fffffff [ 3.408632] IO:R f0200000 00070100 [ 3.412940] vivante gpu-subsystem.11: 130000.gpu3d: using IOMMU [ 3.413080] IO:R f01f8018 14010000 [ 3.413083] IO:R f01f8020 00000320 [ 3.413087] IO:R f01f8024 00005007 [ 3.413093] vivante gpu-subsystem.11: model: 320 [ 3.413098] vivante gpu-subsystem.11: revision: 5007 [ 3.413101] IO:R f01f801c e02c7eca [ 3.413105] IO:R f01f8034 c1399eff [ 3.413108] IO:R f01f8074 020fb2db [ 3.413111] IO:R f01f8084 00000000 [ 3.413114] IO:R f01f8088 00000000 [ 3.413120] vivante gpu-subsystem.11: minor_features: c1399eff [ 3.413126] vivante gpu-subsystem.11: minor_features1: 20fb2db [ 3.413131] vivante gpu-subsystem.11: minor_features2: 0 [ 3.413136] vivante gpu-subsystem.11: minor_features3: 0 [ 3.413139] IO:R f01f8000 00070100 [ 3.438615] IO:R f01f8004 7fffffff [ 3.438619] IO:R f01f8000 00070100 [ 3.442583] vivante gpu-subsystem.11: 134000.gpu2d: using IOMMU [ 3.442681] [drm] Initialized vivante 1.0.0 20130625 on minor 1