Demonstrace využití platformy System on Chip Pynq Z2

The thesis deals with the Pynq Z2 with SoC containing FPGA programmable logic connected to ARM processor. The main goal is to create a set of sample applications that use the peripherals available on the development board and perform critical computations on the FPGA. These applications take the form of a template dividing the functionality into a part communicating with the peripherals and another part implementing the actual computation algorithm. Specific algorithms were chosen from the areas of text search (Knuth-Morris-Pratt algorithm), image filtering (image color change and smoothing convolution mask), audio signal filtering (low pass), and internet packet classification (decision tree). The algorithms can be replaced with custom ones, while the surrounding interface for communication with the periphery is preserved. In addition to the implementation itself, an interactive Jupyter Notebook document is provided for each application with accompanying material to facilitate understanding of the subject matter.

Pynq Z2, FPGA, text search, image filter, sound filter, internet packet classification, SoC, Zynq