GPU Acceleration and Parallel Processing Capabilities on i.MX 8M Plus Quad

[Tmermer1]

Hello,

I am working on a project that utilizes NXP's i.MX 8M Plus Quad chip. I am exploring the best ways to leverage the GPU of this chip for general-purpose parallel computations. I have a few questions regarding this:

1. What software tools and libraries do you recommend for general-purpose GPU computations on the i.MX 8M Plus Quad?
2. Is there an opportunity to use a platform or API similar to CUDA? If not, which alternatives would you suggest?
3. For using the NPU on the chip for artificial intelligence and deep learning applications, which libraries and tools do you recommend?

I am open to any suggestions to achieve the best performance for my project. Thanks in advance to everyone who can assist!

Best regards.

[Zhiming_Liu]

Please refer the Machine Learning Guide: https://www.nxp.com/docs/en/user-guide/IMX-MACHINE-LEARNING-UG.pdf

1.We recommend you use tflite model.

2.No, we add TFlite delegate support about NPU, but we don't provide any API like CUDA.