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41 lines
1.8 KiB
Plaintext
41 lines
1.8 KiB
Plaintext
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NVIDIA CUDA Sample "radixSortThrust"
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----------------------------------
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--------
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OVERVIEW
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--------
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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.
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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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-----
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USAGE
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-----
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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).
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The following command line options are available:
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-n=<N> : number of elements to sort
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-keysonly : sort only an array of keys (the default is to sort key-value pairs)
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-float : use 32-bit float keys
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-keybits=<B> : Use only the B least-significant bits of the keys for the sort
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: B must be a multiple of 4. This option does not apply to float keys
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-quiet : Output only the number of elements and the time to sort
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-help : Output a help message
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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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--------
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CITATION
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--------
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Satish, N., Harris, M., and Garland, M. "Designing Efficient Sorting
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Algorithms for Manycore GPUs". In Proceedings of IEEE International
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Parallel & Distributed Processing Symposium 2009 (IPDPS 2009).
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PDF:
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http://mgarland.org/files/papers/gpusort-ipdps09.pdf
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