Massively Parallel Ray Tracing Algorithm Using GPU

TL;DR

This paper presents a GPU-based implementation of a ray tracing algorithm that leverages parallel processing capabilities of many-core architectures to significantly accelerate high-quality rendering.

Contribution

It introduces a novel GPU implementation and optimization of ray tracing, enabling faster rendering suitable for real-time applications.

Findings

Achieved substantial speedup in rendering times

Demonstrated effective utilization of GPU parallelism

Improved feasibility of real-time high-quality rendering

Abstract

Ray tracing is a technique for generating an image by tracing the path of light through pixels in an image plane and simulating the effects of high-quality global illumination at a heavy computational cost. Because of the high computation complexity, it can't reach the requirement of real-time rendering. The emergence of many-core architectures, makes it possible to reduce significantly the running time of ray tracing algorithm by employing the powerful ability of floating point computation. In this paper, a new GPU implementation and optimization of the ray tracing to accelerate the rendering process is presented.