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arXiv · 2305.07450

Accelerating Java Ray Tracing Applications on Heterogeneous Hardware

Vinh Pham Van·Juan Fumero·Athanasios Stratikopoulos·Florin Blanaru·Christos Kotselidis
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Abstract

Ray tracing has been typically known as a graphics rendering method capable of producing highly realistic imagery and visual effects generated by computers. More recently the performance improvements in Graphics Processing Units (GPUs) have enabled developers to exploit sufficient computing power to build a fair amount of ray tracing applications with the ability to run in real-time. Typically, real-time ray tracing is achieved by utilizing high performance kernels written in CUDA, OpenCL, and Vulkan which can be invoked by high-level languages via native bindings; a technique that fragments application code bases as well as limits portability. This paper presents a hardware-accelerated ray tracing rendering engine, fully written in Java, that can seamlessly harness the performance of underlying GPUs via the TornadoVM framework. Through this paper, we show the potential of Java and acceleration frameworks to process in real time a compute intensive application. Our results indicate that it is possible to enable real time ray tracing from Java by achieving up to 234, 152, 45 frames-per-second in 720p, 1080p, and 4K resolutions, respectively.

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Vinh Pham Van, Juan Fumero, Athanasios Stratikopoulos, Florin Blanaru, Christos Kotselidis. 2023-05-01. Accelerating Java Ray Tracing Applications on Heterogeneous Hardware. https://arxiv.org/abs/2305.07450

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