Cuda programming-> introduction to Cuda (1)

Install cuda6.5 + vs2012, the operating system is win8.1 version, first of all the next GPU-Z detected a bit:

It can be seen that this video card is a low-end configuration, the key is to look at two:

Shaders = 384, also known as Sm, or the number of core/stream processors. The larger the number, the more parallel threads are executed, and the larger the computing workload per unit time.

Buswidth = 64bit. The larger the value, the faster the data processing speed.

Next let's take a look at the Cuda layout:

When you see this layout, you will know how to configure it to vs2012, which is similar to opencv, but there are few Chinese materials. Therefore, you need to pay attention to the stuff in the next folder.

When you see this, you will be happy.

Self-learning depends on individuals. My idea is to first learn cuda_runtime_api, cuda_driver_api, cufft_library, and thrust library.

Paste a piece of code:

#include "stdafx.h"#include <iostream>#include <stdio.h> #include "cuda_runtime.h"#include "device_launch_parameters.h"#include "device_functions.h"#include "cuda.h"#include "thrust/host_vector.h"#include "thrust/device_vector.h"#include "thrust/copy.h"#include "thrust/fill.h"#include "thrust/sequence.h"#define  mask_width  3#define  mask_height 3#define width 16using namespace std;

Void Test2 () {// test1 // thrust: host_vector <int> V (4); V [0] = 12; V [1] = 15; V [2] = 34; V [3] = 45; cout <"V size is:" <Endl; cout <v. size () <Endl; For (INT I = 0; I <v. size (); I ++) cout <V [I] <Endl; // Test2 // thrust :: device_vector <int> D (10, 1); thrust: device_vector <int> E (20, 1); thrust: device_vector <int> H (D. begin (), D. end (); // set the value of 7 elements to 9 thrust: Fill (D. begin (), D. begin () +); // set the elements in H to 0, 1, 2, 3, 4, 5 ...... thrust: sequence (H. begin (), H. end (); // copy h to E. // thrust: Copy (H. begin (), H. end (), E. begin); For (INT I = 0; I <H. size (); I ++) cout <H [I] <Endl ;}

int main(){test2();system("pause");return 0;}

The debugging window is as follows:

The specific study of Cuda will be supplemented later ......

Cuda programming-> introduction to Cuda (1)