FPGA vs GPU

What processing units to use for your algorithm, and what are their key differences? I wrote an article in Haltian's web site to compare two common processors: FPGA and GPU.

When designing a complex electronic device, such as a scientific camera, one of the first tasks is to select the processing units, i.e. processors, you want to use.

Nowadays, there are several types of processors, but when discussing image processing or other heavy calculations, the following three are the main ones: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and Field Programmable Gate Array (FPGA).

The distinction between these three is easy. In principle, you could compute everything with CPU, but the other processor types are faster or more energy-efficient with specific applications. To understand why, it’s good to know how the GPU and FPGA came into existence.

The article in Haltian's web site will go through the history of the different processing units, explain the differences between them, and finally compare them by different application areas. A link to the full article: https://haltian.com/news/fpga-vs-gpu/