Fast k-Selection Algorithms for Graphics Processing Units

ACM Journal of Experimental Algorithmics

Volumn 17, Issue , 2012, Pages 4.1-4.29

  Alabi, Tolu ^a   Steinbach, Russel ^a   Blanchard, Jeffrey D ^a   Gordon, Bradley ^a  

^a GRINNELL COLLEGE   (United States)

Author keywords

Algorithms; CUDA; Design; Experimentation; GPGPU; graphics processing units; k Selection; multicore; order statistics; Performance

Indexed keywords

EID: 84922676879     PISSN: 10846654     EISSN: 10846654     Source Type: Journal    
DOI: 10.1145/2133803.2345676     Document Type: Article

References (17)

1. Alabi, T., Blanchard, J.D., Gordan, B., and Steinbach, R. 2011. GGKS: Grinnell GPU k-Selection. Version 1.0.0. http://code.google.com/p/ggks/.
2. Allison, D. and Noga, M. 1980. Selection by distributive partitioning. Inf. Process. Lett. 11, 1, 7-8.
3. Beliakov, G. 2011. Parallel calculation of the median and order statistics on GPUs with application to robust regression. Comput. Res. Repository abs/1104.2.
4. Blumensath, T. and Davies, M. 2010. Normalized iterative hard thresholding: guaranteed stability and performance. IEEE J. Sel. Top. Sign. Process. 4, 2, 298-309.
5. Cederman, D. and Tsigas, P. 2010. GPU-Quicksort: a practical quicksort algorithm for graphics processors. J. Exp. Algor. 14, 4:1.4-4:1.24.
6. CUDPP.org. 2011. CUDPP change log. http://cudpp.googlecode.eom/svn/tags/2.0/doc/html/changelog.html.
7. Dai, W. and Milenkovic, O. 2009. Subspace pursuit for compressive sensing signal reconstruction. IEEE Trans. Inform. Theory 55, 5, 2230-2249.
8. Foucart, S. 2011. Hard thresholding pursuit: an algorithm for compressive sensing. SIAM J. Num. Anal. 49, 6, 2543-2563.
9. Hoare, C. A. R. 1961a. Algorithm 64: Quicksort. Comm. ACM 4, 321.
10. Hoare, C. A. R. 1961b. Algorithm 65: Find. Comm. ACM 4, 321-322.
11. Hoberock, J. and Bell, N. 2010. Thrust: a parallel template library. Version 1.3.0. http://www. meganewtons.com/.
12. Merrill, D. and Grimshaw, A. 2011. High performance and scalable radix sorting: A case study of implementing dynamic parallelism for GPU computing. Parallel Process. Lett. 21, 2, 245-272.
13. Monroe, L., Wendelberger, J., and Michalak, S. 2011. Randomized selection on the GPU. In Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics (HPG’11). ACM, New York, 89-98.
14. Needell, D. and Tropp, J. 2009. CoSaMP: iterative signal recovery from incomplete and inaccurate samples. Appl. Comp. Harm. Anal. 26, 3, 301-321.
15. NVIDIA. 2011. CUDA toolkit 4.0. http://developer.nvidia.com/cuda-toolkit-40.
16. NVIDIA Corporation 2011. NVIDIA CUDA C Programing Guide, version 4.0. NVIDIA Corporation.
17. TOP500.org. 2011. Top 500 List - June 2011. http://top500.org/list/2011/06/.