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 |