The acceleration of 3D graphics transformations based on CUDA

Abstract

Purpose The purpose of this paper is to achieve the acceleration of 3D object transformation using parallel techniques such as multi-core central processing unit (MC CPU) or graphic processing unit (GPU) or even both. Generating 3D animation scenes in computer graphics requires applying a 3D transformation on the vertices of the objects. These transformations consume most of the execution time. Hence, for high-speed graphic systems, acceleration of vertex transform is very much sought for because it requires many matrix operations (need) to be performed in a real time, so the execution time is essential for such processing. Design/methodology/approach In this paper, the acceleration of 3D object transformation is achieved using parallel techniques such as MC CPU or GPU or even both. Multiple geometric transformations are concatenated together at a time in any order in an interactive manner. Findings The performance results are presented for a number of 3D objects with paralleled implementations of the affine transform on the NVIDIA GPU series. The maximum execution time was about 0.508 s to transform 100 million vertices using LabVIEW and 0.096 s using Visual Studio. Other results also showed the significant speed-up compared to CPU, MC CPU and other previous work computations for the same object complexity. Originality/value The high-speed execution of 3D models is essential in many applications such as medical imaging, 3D games and robotics.

Examining the awareness and usage of cyber physical systems for construction projects in Nigeria

“…2.14 Process control and advanced control systems Anumba (2021) and Nawfal and Ali (2018) describe process control systems sometimes called industrial control system as a piece of equipment along the production line during manufacturing that test the process in a variety of ways, and return data for monitoring and troubleshooting. "Many types of process control systems exist, including supervisory control and data acquisition (SCADA), programmable logic controllers (PLC) and programmable logic controllers (DCS) and they work to gather and transmit data obtained during the manufacturing process" (Marwedel, 2016).…”