Cuda Learning and Summary 2

1. Two-D arrays using

1#include <iostream>2#include <cstdlib>3 using namespacestd;4 5 Static Const intROW =Ten;6 Static Const intCOL =5;7 8 intMain () {9     int* * Array = (int**)malloc(row*sizeof(int*));Ten     int* Data = (int*)malloc(row*col*sizeof(int)); One      A     //Initialize the data -      for(intI=0; i<row*col; i++) { -Data[i] =i; the     } -      -     //Initialize the array -      for(intI=0; i<row; i++) { +Array[i] = data + i*COL; -     } +      A     //Output the array at      for(intI=0; i<row; i++)  -          for(intj=0; j<col; J + +) { -cout << Array[i][j] <<Endl; -         } -          -      Free(array); in      Free(data); -      to     return 0; +}

Reference documents:

[1] What are the best Cuda open source codes? : https://www.zhihu.com/question/29036289/answer/42971562

[2] cuda one-dimensional matrix addition: http://tech.it168.com/a2009/1112/807/000000807771.shtml

[3] Cuda two-dimensional matrix addition: http://www.cnblogs.com/jugg1024/p/4349243.html

[4] NVIDIA CUDA Runtime API:HTTP://DOCS.NVIDIA.COM/CUDA/CUDA-RUNTIME-API/INDEX.HTML#AXZZ4G8M3LWLQ

Cuda Learning and Summary 2