Year: 2024
Type: conference-paper
Abstract: The compression required in video-based applications imposes a significant computational workload. Moreover, computing systems are becoming increasingly heterogeneous, and GPUs have gained popularity. This Ph.D. Thesis proposes a GPU acceleration methodology that provides guidelines for efficiently leveraging heterogeneous CPU+GPU systems to accelerate video coding applications. Experimental results demonstrate that the solutions developed following the proposed methodology accelerate the encoding and improve its energy efficiency while posing minor coding efficiency losses.
Authors: Iago Storch, Daniel Palomino, Sergio Bampi
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4403388531