cuda-samples/Samples/radixSortThrust/doc/readme.txt

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NVIDIA CUDA Sample "radixSortThrust"
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OVERVIEW
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This sample demonstrates a very fast and efficient parallel radix sort implemented in C for CUDA. The included RadixSort class can sort either key-value pairs (with float or unsigned integer keys) or keys only. It can also sort unsigned integer keys based on a varying number of least-significant bits ranging from 4 to 32 in multiples of 4.
This radix sort code and the underlying algorithm is discussed in detail in the paper "Designing Efficient Sorting Algorithms for Manycore GPUs". A PDF version of this paper is available at http://mgarland.org/files/papers/gpusort-ipdps09.pdf
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USAGE
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To run a sort with default options (Sort 1M unsigned integer key-value pairs), just invoke the executable ("radixSort.exe" on Windows, "radixSort" otherwise).
The following command line options are available:
-n=<N> : number of elements to sort
-keysonly : sort only an array of keys (the default is to sort key-value pairs)
-float : use 32-bit float keys
-keybits=<B> : Use only the B least-significant bits of the keys for the sort
: B must be a multiple of 4. This option does not apply to float keys
-quiet : Output only the number of elements and the time to sort
-help : Output a help message
The RadixSort class can also be used within your application by building the radixsort.cu file into your application or library, and including the radixsort.h header file.
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CITATION
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Satish, N., Harris, M., and Garland, M. "Designing Efficient Sorting
Algorithms for Manycore GPUs". In Proceedings of IEEE International
Parallel & Distributed Processing Symposium 2009 (IPDPS 2009).
PDF:
http://mgarland.org/files/papers/gpusort-ipdps09.pdf