3331

Fast in-place sorting with CUDA based on bitonic sort

Hagen Peters, Ole Schulz-Hildebrandt, and Norbert Luttenberger
Research Group for Communication Systems, Department of Computer Science, Christian-Albrechts-University Kiel, Germany
Parallel Processing and Applied Mathematics, Lecture Notes in Computer Science, 2010, Volume 6067/2010, 403-410, Proceedings of the 8th international conference on Parallel processing and applied mathematics, PPAM’09: Part I
@conference{peters2009fast,

   title={Fast in-place sorting with CUDA based on bitonic sort},

   author={Peters, H. and Schulz-Hildebrandt, O. and Luttenberger, N.},

   booktitle={Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part I},

   pages={403–410},

   isbn={364214389X},

   year={2009},

   organization={Springer-Verlag}

}

Download Download (PDF)   View View   Source Source   

1260

views

State of the art graphics processors provide high processing power and furthermore, the high programmability of GPUs offered by frameworks like CUDA increases their usability as high-performance coprocessors for general-purpose computing. Sorting is well-investigated in Computer Science in general, but (because of this new field of application for GPUs) there is a demand for high-performance parallel sorting algorithms that fit to the characteristics of modern GPU-architecture. We present a high-performance in-place implementation of Batcher’s bitonic sorting networks for CUDA-enabled GPUs. We adapted bitonic sort for arbitrary input length and assigned compare/exchange-operations to threads in a way that decreases low-performance global-memory access and thereby greatly increases the performance of the implementation.
VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

* * *

* * *

Follow us on Twitter

HGPU group

1924 peoples are following HGPU @twitter

Like us on Facebook

HGPU group

432 people like HGPU on Facebook

HGPU group © 2010-2016 hgpu.org

All rights belong to the respective authors

Contact us: