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A Fast and Flexible Sorting Algorithm with CUDA
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A Fast and Flexible Sorting Algorithm with CUDA
Shifu Chen17 , Jing Qin18 , Yongming Xie18 , Junping Zhao19 and Pheng-Ann Heng17, 18 
| (17) |
Shenzhen Institute of Advanced Integration Technology, Chinese Academy of Sciences/The Chinese University of Hong Kong, |
| (18) |
Department of Computer Science and Engineering, The Chinese University of Hong Kong, |
| (19) |
Institue of Medical Informatics, Chinese PLA General Hospital & Postgraduate Medical School, |
Abstract
In this paper, we propose a fast and flexible sorting algorithm with CUDA. The proposed algorithm is much more practical than
the previous GPU-based sorting algorithms, as it is able to handle the sorting of elements represented by integers, floats
and structures. Meanwhile, our algorithm is optimized for the modern GPU architecture to obtain high performance. We use different
strategies for sorting disorderly list and nearly-sorted list to make it adaptive. Extensive experiments demon- strate our
algorithm has higher performance than previous GPU-based sorting algorithms and can support real-time applications.
Keywords Parallel sorting algorithm - CUDA - GPU-based sorting algorithm
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