Image processing research areas using GPU [closed]

1. Does image processing require GPU?
2. Why all programs are not executed in the GPU?
3. What sort of data processing may GPU be used for?
4. Does OpenCL run on GPU?

Does image processing require GPU?

When doing image processing, we need fast access to pixel values. GPUs are designed for graphical purposes, and one of them is texturing, therefore the hardware for accessing and manipulating pixels is well optimized.

Why all programs are not executed in the GPU?

The GPU has no direct access on any memory that is mapped by the OS to be accessed within client code (i.e. code, which is executed in user-mode while the instructions are executed on the CPU). In addition the GPU is not supposed to perform stuff like this, it aims to perform floating point arithmetic at a high speed.

What sort of data processing may GPU be used for?

GPUs can process many pieces of data simultaneously, making them useful for machine learning, video editing, and gaming applications. GPUs may be integrated into the computer's CPU or offered as a discrete hardware unit.

Does OpenCL run on GPU?

OpenCL™ (Open Computing Language) is a low-level API for heterogeneous computing that runs on CUDA-powered GPUs. Using the OpenCL API, developers can launch compute kernels written using a limited subset of the C programming language on a GPU.