Advanced techniques and high-performance computing optimization for real-time rendering

Qiongxian Zhang

doi:10.54254/2755-2721/90/2024MELB0061

Research Article

Open access

Published on 27 August 2024

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Zhang,Q. (2024). Advanced techniques and high-performance computing optimization for real-time rendering. Applied and Computational Engineering,90,14-19.

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Advanced techniques and high-performance computing optimization for real-time rendering

Qiongxian Zhang *^,1,

¹ Monash University, Clayton, Australia

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/90/2024MELB0061

Abstract

Real-time rendering is a cornerstone of modern interactive media, enabling the creation of immersive and dynamic visual experiences. This paper explores advanced techniques and high-performance computing (HPC) optimization in real-time rendering, focusing on the use of game engines like Unity and Unreal Engine. It delves into mathematical models and algorithms that enhance rendering performance and visual quality, including Level of Detail (LOD) management, occlusion culling, and shader optimization. The study also examines the impact of GPU acceleration, parallel processing, and compute shaders on rendering efficiency. Furthermore, the paper discusses the integration of ray tracing, global illumination, and temporal rendering techniques, and addresses the challenges of balancing quality and performance, particularly in virtual and augmented reality applications. The future role of artificial intelligence and machine learning in optimizing real-time rendering pipelines is also considered. By providing a comprehensive overview of current methodologies and identifying key areas for future research, this paper aims to contribute to the ongoing advancement of real-time rendering technologies.

Keywords

Real-time rendering, game engines, Unity, Unreal Engine, high-performance computing

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References

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Cite this article

Zhang,Q. (2024). Advanced techniques and high-performance computing optimization for real-time rendering. Applied and Computational Engineering,90,14-19.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 6th International Conference on Computing and Data Science

Conference website: https://2024.confcds.org/

ISBN：978-1-83558-609-9(Print) / 978-1-83558-610-5(Online)

Conference date: 12 September 2024

Editor：Alan Wang, Ammar Alazab

Series: Applied and Computational Engineering

Volume number: Vol.90

ISSN：2755-2721(Print) / 2755-273X(Online)

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