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.[1]
As SURF uses integral images for fast convolution, it is essential to calculate summed-area table by CUDA. CUDPP is an alternative and dependency of CUDA SURF.[2]
When I tried to compile the CUDPP library, I found it extremely slow so that I thought the computer died somehow. After waiting for decades of minutes it finally completed. Curiously I tried to figure out the reason and got an answer for the wiki of CUDPP.[3]
"Compile time continues to get longer as we add more functionality. CUDA is really slow at
compiling template functions with multiple parameters, and we use a lot. There are something like
384 different scan kernels, for example, and a similar number for segscan. "
Reference
[1]CUDPP, http://code.google.com/p/cudpp/
[2]CUDA SURF http://www.d2.mpi-inf.mpg.de/surf
[3]http://code.google.com/p/cudpp/issues/detail?id=19
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ReplyDeletehey there! I' trying this CUDA-SURF implementation, and getting some problems, (finally) cudpp is compiled, to avoid any problem I am adding source files to surf project as well (also libraries), but still I got error LNK2019: unresolved external for cudpp functions and structs, I wonder whether something is wrong when I compiled cudpp or if I'm not linking correctly, do u have any sugesstion I can try?
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