A Comprehensive Performance Evaluation of Procedural Geometry Workloads on Resource-Constrained Devices

In recent years, visualizing high-quality 3D content within modern applications (e.g., Augmented or Virtual Reality) is increasingly being generated procedurally rather than explicitly. This manifests in producing highly detailed geometries entailing resource-intensive computational workloads (i.e., Procedural Geometry Workloads) with particular characteristics. Typically, workloads with resource-intensive demands are executed in environments with powerful resources (i.e., the cloud). However, the enormous amount of data transmission, heterogeneous devices, and networks involved impact overall latency and quality in user-facing applications. To tackle these challenges, computing entities (i.e., edge devices) located near end-users can be utilized to generate 3D content. Our objective within this paper is to evaluate performance and power consumption when executing procedural geometric workloads on resource-constrained edge devices. Through extensive experiments, we aim to comprehend the limitations of different edge devices when generating 3D content under different configurations.