stdgpu: Efficient STL-like Data Structures on the GPU

Understand

Tremendous advances in parallel computing and graphics hardware opened up several novel real-time GPU applications in the fields of computer vision, computer graphics as well as augmented reality (AR) and virtual reality (VR).

• Although these applications built upon established open-source frameworks that provide highly optimized algorithms, they often come with custom self-written data structures to manage the underlying data.
• In this work, we present stdgpu, an open-source library which defines several generic GPU data structures for fast and reliable data management.
• Rather than abandoning previous established frameworks, our library aims to extend them, therefore bridging the gap between CPU and GPU computing.