Last edited 5 months ago

GPU internal peripheral

Applicable for STM32MP15x lines, STM32MP25x lines


1. Article purpose[edit | edit source]

The purpose of this article is to:

  • briefly introduce the GPU peripheral and its main features,
  • indicate the peripheral instances assignment at boot time and their assignment at runtime (including whether instances can be allocated to secure contexts),
  • list the software frameworks and drivers managing the peripheral,
  • explain how to configure the peripheral.

2. Peripheral overview[edit | edit source]

The GPU peripheral is a dedicated graphics processing unit. It accelerates numerous 3D graphics applications such as graphical user interface (GUI), menu display or animations. It works together with an optimized software stack designed for industry-standard APIs and supporting AndroidTM and Linux® embedded development platforms (read the STM32 MPU reference manual [1] for more details).

2.1. On STM32MP15x lines More info.png[edit | edit source]

The GPU peripheral main API supports are:

  • OpenGL® ES 1.1 and 2.0
  • OpenVG® 1.1
  • EGL 1.4

Refer to the STM32 MPU reference manuals for the complete list of features, and to the software frameworks and drivers, introduced below, to see which features are implemented.

2.2. On STM32MP25x lines More info.png[edit | edit source]

The GPU peripheral provides a powerful hardware acceleration means for all modern Graphic, but also Neural, and general parallel computing applications.

Main API are the same as on STM32MP15x lines More info.png, with the following extra ones:

  • OpenGL® ES 3.2.8 (backward compatible: OpenGL® ES 2.1 & OpenGL® ES 1.1)
  • Vulkan 1.3
  • OpenVG® 1.3
  • OpenCL® 3.0
  • OpenVX® 1.3

Refer to the STM32 MPU reference manuals for the complete list of features, and to the software frameworks and drivers, introduced below, to see which features are implemented.

3. Peripheral usage[edit | edit source]

This chapter is applicable in the scope of the OpenSTLinux BSP running on the Arm® Cortex®-A processor(s), and the STM32CubeMPU Package running on the Arm® Cortex®-M processor.

3.1. Boot time assignment[edit | edit source]

3.1.1. On STM32MP1 series[edit | edit source]

The GPU peripheral is not used at boot time.

3.1.2. On STM32MP2 series[edit | edit source]

Click on How to.png to expand or collapse the legend...

  • means that the peripheral can be assigned to the given boot time context.
  • means that the peripheral is assigned by default to the given boot time context and that the peripheral is mandatory for the STM32 MPU Embedded Software distribution.
  • means that the peripheral can be assigned to the given boot time context, but this configuration is not supported in STM32 MPU Embedded Software distribution.
  • is used for system peripherals that cannot be unchecked because they are hardware connected in the device.

The present chapter describes STMicroelectronics recommendations or choice of implementation. Additional possibilities might be described in STM32MP25 reference manuals.

Domain Peripheral Boot time allocation Comment How to.png
Instance Cortex-A35
secure
(ROM code)
Cortex-A35
secure
(TF-A BL2)
Cortex-A35
non-secure
(U-Boot)
Visual GPU GPU

3.2. Runtime assignment[edit | edit source]

3.2.1. On STM32MP15x lines More info.png[edit | edit source]

Click on How to.png to expand or collapse the legend...

STM32MP15 internal peripherals

Check boxes illustrate the possible peripheral allocations supported by STM32 MPU Embedded Software:

  • means that the peripheral can be assigned to the given runtime context.
  • means that the peripheral is assigned by default to the given runtime context and that the peripheral is mandatory for the STM32 MPU Embedded Software distribution.
  • means that the peripheral can be assigned to the given runtime context, but this configuration is not supported in STM32 MPU Embedded Software distribution.
  • is used for system peripherals that cannot be unchecked because they are hardware connected in the device.

Refer to How to assign an internal peripheral to an execution context for more information on how to assign peripherals manually or via STM32CubeMX.
The present chapter describes STMicroelectronics recommendations or choice of implementation. Additional possiblities might be described in STM32MP15 reference manuals.

Domain Peripheral Runtime allocation Comment How to.png
Instance Cortex-A7
secure
(OP-TEE)
Cortex-A7
non-secure
(Linux)
Cortex-M4

(STM32Cube)
Visual GPU GPU

3.2.2. On STM32MP25x lines More info.png[edit | edit source]

Click on How to.png to expand or collapse the legend...

STM32MP25 internal peripherals

Check boxes illustrate the possible peripheral allocations supported by STM32 MPU Embedded Software:

  • means that the peripheral can be assigned to the given runtime context.
  • means that the peripheral is assigned by default to the given runtime context and that the peripheral is mandatory for the STM32 MPU Embedded Software distribution.
  • means that the peripheral can be assigned to the given runtime context, but this configuration is not supported in STM32 MPU Embedded Software distribution.
  • is used for system peripherals that cannot be unchecked because they are hardware connected in the device.

The present chapter describes STMicroelectronics recommendations or choice of implementation. Additional possibilities might be described in STM32MP25 reference manuals.

Domain Peripheral Runtime allocation Comment How to.png
Instance Cortex-A35
secure
(OP-TEE /
TF-A BL31)
Cortex-A35
non-secure
(Linux)
Cortex-M33
secure
(TF-M)
Cortex-M33
non-secure
(STM32Cube)
Cortex-M0+
Warning.png
(STM32Cube)
Visual GPU GPU OP-TEE

4. Software frameworks and drivers[edit | edit source]

Below are listed the software frameworks and drivers managing the GPU peripheral for the embedded software components listed in the above tables.

  • Linux®: OpenGL® ES framework
Under construction.png Add a link to "GPU framework overview" article when available.

5. How to assign and configure the peripheral[edit | edit source]

The peripheral assignment can be done via the STM32CubeMX graphical tool (and manually completed if needed).
This tool also helps to configure the peripheral:

  • partial device trees (pin control and clock tree) generation for the OpenSTLinux software components,
  • HAL initialization code generation for the STM32CubeMPU Package.

The configuration is applied by the firmware running in the context in which the peripheral is assigned.

See also additional information in the GPU device tree configuration article for Linux®.

6. How to go further[edit | edit source]

Please go through the articles belonging to the GPU category.

7. References[edit | edit source]

  1. STM32 MPU reference manuals for more details