A Simple Example

#include<cuda.h>#include<thrust/version.h>#include<cusp/version.h>#include<cusp/hyb_matrix.h>#include<cusp/io/matrix_market.h>#include<cusp/krylov/cg.h>#include<iostream>intmain(void){int cuda_major =  CUDA_VERSION /1000;int cuda_minor = (CUDA_VERSION %1000) /10;int thrust_major = THRUST_MAJOR_VERSION;int thrust_minor = THRUST_MINOR_VERSION;int cusp_major = CUSP_MAJOR_VERSION;int cusp_minor = CUSP_MINOR_VERSION;    std::cout <<"CUDA   v" << cuda_major   <<"." << cuda_minor   << std::endl;    std::cout <<"Thrust v" << thrust_major <<"." << thrust_minor << std::endl;    std::cout <<"Cusp   v" << cusp_major   <<"." << cusp_minor   << std::endl;// create an empty sparse matrix structure (HYB format)    cusp::hyb_matrix<int,float, cusp::device_memory> A;// load a matrix stored in Matrix-Market formatcusp::io::read_matrix_market_file(A,"./testing/data/laplacian/5pt_10x10.mtx");// allocate storage for solution (x) and right hand side (b)    cusp::array1d<float, cusp::device_memory>x(A.num_rows,0);    cusp::array1d<float, cusp::device_memory>b(A.num_rows,1);// solve the linear system A * x = b with the conjugate gradient methodcusp::krylov::cg(A, x, b);return0;}

git@github.com:cusplibrary/cusplibrary.gitcd cusplibrarygit clone git@github.com:NVIDIA/cccl.gitnvcc -Icccl/thrust -Icccl/libcudacxx/include -Icccl/cub -I. example.cu -o example

Stable Releases

Contributors

Citing

@MISC{Cusp,  author ="Steven Dalton and Nathan Bell and Luke Olson and Michael Garland",  title ="Cusp: Generic Parallel Algorithms for Sparse Matrix and Graph Computations",  year ="2014",  url ="http://cusplibrary.github.io/", note ="Version 0.5.0"}