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Project Summary

CUDPP is the CUDA Data Parallel Primitives Library. CUDPP is a library of data-parallel algorithm primitives such as parallel prefix-sum (”scan”), parallel sort and parallel reduction. Primitives such as these are important building blocks for a wide variety of data-parallel algorithms, including sorting, stream compaction, and building data structures such as trees and summed-area tables. CUDPP runs on processors that support CUDA.

For detailed information, see the CUDPP Documentation. A good place to start is the simpleCUDPP Example.

Tags

algorithms cuda data-parallelalgorithms gpu gpucomputing parallelcomputing sorting

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Languages

Languages?height=75&width=75
C
41%
C++
38%
CUDA
16%
3 Other
5%

30 Day Summary

Apr 9 2016 — May 9 2016

12 Month Summary

May 9 2015 — May 9 2016
  • 5 Commits
    Down -8 (61%) from previous 12 months
  • 4 Contributors
    Down -1 (20%) from previous 12 months

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