Multimed Tools Appl https://doi.org/10.1007/s11042-018-6188-x 1 2 3 Young-Hwan Choi & Min Hong & Yoo-Joo Choi Received: 14 December 2016 /Revised: 14 November 2017 /Accepted: 22 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract In a 3D simulation, numerous physically and numerically related calculations are required to represent an object realistically. The existing CPU (central processing unit) technology, however, is incapable of handling such a large computational amount in real time. With the recent hardware-technology advancements, the GPU (graphics processing unit) can be used not only for conventional rendering operations, but also for general-purpose compu- tational functions. In this paper, a mass-spring system for which the CPU and GPU versions are tested under the PC and mobile environments wherein the GPGPU (general-purpose computing on GPUs) is applied is proposed. For this paper, a virtual cloth with a mass- spring system was freely dropped onto a table, and the CPU and GPU performances were compared. The computational GPU performances regarding the PC and mobile devices were improved by 9.41 times and 45.11 times, respectively, compared with the CPU. The proposed GPU mass-spring system was then implemented with an edge-centric algorithm and a node- centric algorithm. The edge-centric
Multimedia Tools and Applications – Springer Journals
Published: Jun 4, 2018
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