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==========
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Arm-2D GPU
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==========
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Arm-2D is not a GPU but **an abstraction layer for 2D GPUs dedicated to
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Microcontrollers**. It supports all Cortex-M processors ranging from
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Cortex-M0 to the latest Cortex-M85.
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Arm-2D is an open-source project on Github. For more, please refer to:
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https://github.com/ARM-software/Arm-2D.
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How to Use
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**********
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In general, you can set the macro :c:macro:`LV_USE_GPU_ARM2D` to ``1`` in
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``lv_conf.h`` to enable Arm-2D acceleration for LVGL.
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If you are using
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`CMSIS-Pack <https://github.com/lvgl/lvgl/tree/master/env_support/cmsis-pack>`__
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2023-04-27 11:47:13 -06:00
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to deploy the LVGL. You don't have to define the macro
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:c:macro:`LV_USE_GPU_ARM2D` manually, instead, please select the component
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``GPU Arm-2D`` in the **RTE** dialog. This step will define the macro for us.
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Design Considerations
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*********************
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As mentioned before, Arm-2D is an abstraction layer for 2D GPU; hence if
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there is no accelerator or dedicated instruction set (such as Helium or
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ACI) available for Arm-2D, it provides negligible performance boost for
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LVGL (sometimes worse) for regular Cortex-M processors.
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**We highly recommend you enable Arm-2D acceleration for LVGL** when:
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- The target processors are **Cortex-M55** and/or **Cortex-M85**
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- The target processors support
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`Helium <https://developer.arm.com/documentation/102102/0103/?lang=en>`__.
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- The device vendor provides an arm-2d compliant driver for their
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propriotory 2D accelerators and/or customized instruction set.
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- The target device contains
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`DMA-350 <https://community.arm.com/arm-community-blogs/b/internet-of-things-blog/posts/arm-corelink-dma-350-next-generation-direct-memory-access-for-endpoint-ai>`__
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Examples
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********
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- `A Cortex-M55 (supports Helium) based MDK Project, PC emulation is
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available. <https://github.com/lvgl/lv_port_an547_cm55_sim>`__
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API
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***
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:ref:`lv_gpu_arm2d`
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