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chore(NemaGFX): add NemaPVG lib binaries (#8430)
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@@ -16,6 +16,11 @@ is a ready-to-use port for the Riverdi STM32 5.0" Embedded Display
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(STM32U599NJH6Q or STM32U5A9NJH6Q) which has Nema enabled.
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Follow the instructions in the readme to get started.
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`lv_port_stm32u5g9j-dk2 <https://github.com/lvgl/lv_port_stm32u5g9j-dk2>`__
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is a ready-to-use port for the STM32U5G9J-DK2 devkit with a 5.0" display
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and a NeoChrom VG GPU.
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Follow the instructions in the readme to get started.
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Usage and Configuration
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***********************
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@@ -26,9 +31,17 @@ to the size of the display you will be using so that enough static
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memory will be reserved for VG. Without VG, more task types will be
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performed by the software renderer.
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"libs/nema_gfx" contains pre-compiled binaries for the Nema GPU
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drivers. In `lv_port_riverdi_stm32u5 <https://github.com/lvgl/lv_port_riverdi_stm32u5>`__
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the project is already configured to link the binaries when building.
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"libs/nema_gfx" contains pre-compiled binaries for the Nema GPU drivers.
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`lv_port_riverdi_stm32u5 <https://github.com/lvgl/lv_port_riverdi_stm32u5>`__
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is already configured to link the "cortex_m33_revC" binaries when building
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and `lv_port_stm32u5g9j-dk2 <https://github.com/lvgl/lv_port_stm32u5g9j-dk2>`__
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is configured to link the "cortex_m33_NemaPVG" binaries when building.
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"cortex_m33_revC" works on all STM32 m33 devices with a Nema core while "cortex_m33_NemaPVG"
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additionally supports the tesselation and matrix multiplication acceleration that
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the STM32 U5F and U5G Nema cores are capable of.
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With a different STM32CubeIDE project, you can configure the libraries to be linked
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by right-clicking the project in the "Project Explorer" sidebar, clicking
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"Properties", navigating to "C/C++ Build", "Settings", "MCU G++ Linker", and then
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