Abstract
An efficient GPU‐based sorting algorithm is proposed in this paper together with a merging method on graphics devices. The proposed sorting algorithm is optimized for modern GPU architecture with the capability of sorting elements represented by integers, floats and structures, while the new merging method gives a way to merge two ordered lists efficiently on GPU without using the slow atomic functions and uncoalesced memory read. Adaptive strategies are used for sorting disorderly or nearlysorted lists, large or small lists. The current implementation is on NVIDIA CUDA with multi‐GPUs support, and is being migrated to the new born Open Computing Language (OpenCL). Extensive experiments demonstrate that our algorithm has better performance than previous GPU‐based sorting algorithms and can support real‐time applications.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
