Paper Info
Title
Multi-GPU room response simulation with hardware raytracing
Abstract
Time-of-flight camera systems are an essential component in 3D scene analysis and reconstruction for many modern computer vision applications. The development and validation of such systems require testing in a large variety of scenes and situations. Accurate room impulse response simulation greatly speeds up development and validation, as well as reducing its cost, but large computational overhead has so far limited its applicability. While the overall algorithmic requirements of this simulation differ significantly from 3D rendering, the recently introduced hardware raytracing support in GPUs nonetheless provides an interesting new implementation option. In this article, we present a new room response simulation method, implemented in a vendor-independent fashion with Vulkan compute shaders and leveraging NVIDIA VKRay hardware raytracing. We also extend this method to multi-GPU computation with asynchronous streaming and introduce a domain-specific high-performance compression scheme in order to overcome the limitations of on-board GPU memory and PCIe bandwidth when simulating very large scenes. Our implementation is, to the best of our knowledge, the first ever combined application of Vulkan hardware raytracing and multi-GPU compute in a non-rendering simulation setting. Compared to a state-of-the-art multicore CPU implementation running on 12 CPU cores, we achieve an overall speedup factor of up to 20 on a single consumer GPU, and 71 on four GPUs.
Year
DOI
Venue
2022
10.1002/cpe.6663
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Keywords
DocType
Volume
asynchronous streaming, floating point compression, GPU computing, hardware raytracing, multi-GPU, simulation, time of flight, Vulkan
Journal
34
Issue
ISSN
Citations 
4
1532-0626
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Peter Thoman100.34
Markus Wippler200.34
Robert Hranitzky300.34
Philipp Gschwandtner400.34
Thomas Fahringer501.35