Central processing units (CPUs) mainly perform serial processing, whereas a graphical processing unit (GPU) runs processes in parallel and can perform a large number of operations at once, resulting in faster processing. The data in a GPU is called a thread. GPUs are programmed using the Compute Unified Device Architecture (CUDA) and Open Computing Language (OpenCL). A CPU performs a lot of different types of calculations, whereas a GPU specializes in a given calculation, such as image processing. For edge devices to provide results without lag, they must be accompanied by accelerators, GPUs, and software optimization.
The following are some methods that are commonly used for GPU/CPU optimization:
- Model optimization methods such as image size, batch normalization, gradient descent, and so on.
- Magnitude-based weight pruning makes the model...
