| dc.contributor.author | Xhelilaj, Natanael | |
| dc.date.accessioned | 2025-01-23T13:35:27Z | |
| dc.date.available | 2025-01-23T13:35:27Z | |
| dc.date.issued | 2024-03-01 | |
| dc.identifier.uri | http://dspace.epoka.edu.al/handle/1/2392 | |
| dc.description.abstract | This thesis encapsulates a focused exploration at the intersection of parallel processing, Field-Programmable Gate Arrays (FPGAs), and the innovative PYNQ framework. In the evolving landscape of computing, the imperative for efficient solutions has brought parallel processing to the forefront, finding a dynamic ally in the configurability of FPGAs. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | FPGA, PYNQ, Parallelisation, Python, HDMI, ZCU104 | en_US |
| dc.title | EFFICIENT VIDEO PROCESSING ON FPGAS: A PYNQ APPROACH WITH THE XILINX ZCU104 EVALUATION BOARD | en_US |
| dc.type | Thesis | en_US |