GPGPU OpenCL 精确字符串查找

字符串查找是信息安全、信息过滤领域的重要操作,尤其是对大文本的实时处理。这篇作为实例,使用GPU OpenCL进行精确模式串查找。

1.加速方法

  (1)将少量常量数据,如模式串长度、文本长度等,保存在线程的private memory中。

  (2)将模式串保存在GPU的local memory中,加速线程对模式串的访问。

  (3)将待查找的文本保存在global memory中,使用尽可能多线程访问global memory,减小线程平均访存时间。

  (4)每个work-group中的线程操作文本中一段,多个work-group并行处理大文本。

2.同步

  (1)work-group内,使用CLK_LOCAL_MEM_FENCE、CLK_GLOBAL_MEM_FENCE

  (2)全局使用对__global int 的原子操作,来保证每个线程将结果写到全局内存的正确位置。设备支持的操作可以通过查询设备的扩展获得,如下图,可知核函数支持原子操作、printf操作:

  GPGPU OpenCL 精确字符串查找

3.代码实例,大文本精确模式串搜索

3.1 核函数(string_search_kernel.cl):

 1 int compare(__global const uchar* text, __local const uchar* pattern, uint length){

 2     for(uint l=0; l<length; ++l){

 3         if (text[l] != pattern[l]) 

 4         return 0;

 5     }

 6     return 1;

 7 }

 8 

 9 __kernel void

10     StringSearch (

11       __global uchar* text,        //Input Text

12       const uint textLength,        //Length of the text

13       __global const uchar* pattern,    //Pattern string

14       const uint patternLength,        //Pattern length

15       const uint maxSearchLength,    //Maximum search positions for each work-group

16       __global int* resultCount,    //Result counts (global)

17       __global int* resultBuffer,    //Save the match result

18       __local uchar* localPattern)    //local buffer for the search pattern

19 {  

20 

21     int localIdx = get_local_id(0);

22     int localSize = get_local_size(0);

23     int groupIdx = get_group_id(0);

24 

25     uint lastSearchIdx = textLength - patternLength + 1;

26     uint beginSearchIdx = groupIdx * maxSearchLength;

27     uint endSearchIdx = beginSearchIdx + maxSearchLength;

28     if(beginSearchIdx > lastSearchIdx) 

29     return;

30     if(endSearchIdx > lastSearchIdx) 

31     endSearchIdx = lastSearchIdx;

32 

33     for(int idx = localIdx; idx < patternLength; idx+=localSize)

34         localPattern[idx] = pattern[idx];

35     barrier(CLK_LOCAL_MEM_FENCE);

36     

37     for(uint stringPos=beginSearchIdx+localIdx; stringPos<endSearchIdx; stringPos+=localSize){

38     if (compare(text+stringPos, localPattern, patternLength) == 1){

39             int count = atomic_inc(resultCount);

40             resultBuffer[count] = stringPos;

41         //printf("%d ",stringPos);

42         }

43     barrier(CLK_LOCAL_MEM_FENCE);

44     }

45 }

3.2.tool.h 、tool.cpp

见:http://www.cnblogs.com/xudong-bupt/p/3582780.html

3.3 StringSearch.cpp

GPGPU OpenCL 精确字符串查找
  1 #include <CL/cl.h>

  2 #include "tool.h"

  3 #include <string.h>

  4 #include <stdio.h>

  5 #include <stdlib.h>

  6 #include <iostream>

  7 #include <string>

  8 #include <fstream>

  9 using namespace std;

 10 

 11 

 12 int main(int argc, char* argv[])

 13 {

 14     cl_int    status;

 15     /**Step 1: Getting platforms and choose an available one(first).*/

 16     cl_platform_id platform;

 17     getPlatform(platform);

 18 

 19     /**Step 2:Query the platform and choose the first GPU device if has one.*/

 20     cl_device_id *devices=getCl_device_id(platform);

 21 

 22     /**Step 3: Create context.*/

 23     cl_context context = clCreateContext(NULL,1, devices,NULL,NULL,NULL);

 24 

 25     /**Step 4: Creating command queue associate with the context.*/

 26     cl_command_queue commandQueue = clCreateCommandQueue(context, devices[0], 0, NULL);

 27 

 28     /**Step 5: Create program object */

 29     const char *filename = "string_search_kernel.cl";

 30     string sourceStr;

 31     status = convertToString(filename, sourceStr);

 32     const char *source = sourceStr.c_str();

 33     size_t sourceSize[] = {strlen(source)};

 34     cl_program program = clCreateProgramWithSource(context, 1, &source, sourceSize, NULL);

 35 

 36     /**Step 6: Build program. */

 37     status=clBuildProgram(program, 1,devices,NULL,NULL,NULL);

 38 

 39 

 40     /**Step 7: Initial input,output for the host and create memory objects for the kernel*/

 41     string textStr;    //StringSearch_Input.txt

 42     convertToString("StringSearch_Input.txt", textStr);

 43     const char *    text = textStr.c_str();

 44     int        textlen=strlen(text);

 45 

 46     char *    pattern="info";

 47     int        patternlen=strlen(pattern);

 48     int        maxSearchLength=256*64;

 49     int    *    resultCount=new int[1];

 50     *resultCount=0;

 51     int    *    result=new int[textlen];

 52         memset(result,0,sizeof(int)*textlen);

 53 

 54     cl_mem    textBuffer = clCreateBuffer(context, CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR, sizeof(char)*textlen,(void *)text, NULL);    //global memory

 55     cl_mem    patternBuffer = clCreateBuffer(context, CL_MEM_WRITE_ONLY|CL_MEM_COPY_HOST_PTR ,sizeof(char)*patternlen, (void *)pattern, NULL);

 56     cl_mem    resultCountBuffer = clCreateBuffer(context, CL_MEM_WRITE_ONLY|CL_MEM_COPY_HOST_PTR ,sizeof(int), (void *)resultCount, NULL);

 57     cl_mem    resultBuffer = clCreateBuffer(context, CL_MEM_WRITE_ONLY|CL_MEM_COPY_HOST_PTR ,sizeof(int)*textlen, (void *)result, NULL);

 58 

 59     /**Step 8: Create kernel object */

 60     cl_kernel kernel = clCreateKernel(program,"StringSearch", NULL);

 61 

 62     /**Step 9: Sets Kernel arguments.*/

 63     status = clSetKernelArg(kernel, 0, sizeof(cl_mem), (void *)&textBuffer);    //global

 64     status = clSetKernelArg(kernel, 1, sizeof(int), &textlen);        //private

 65     status = clSetKernelArg(kernel, 2, sizeof(cl_mem), (void *)&patternBuffer);    //global

 66     status = clSetKernelArg(kernel, 3, sizeof(int), &patternlen);    //private

 67     status = clSetKernelArg(kernel, 4, sizeof(int), &maxSearchLength);    //private

 68     status = clSetKernelArg(kernel, 5, sizeof(cl_mem), (void *)&resultCountBuffer);    //global

 69     status = clSetKernelArg(kernel, 6, sizeof(cl_mem), (void *)&resultBuffer);    //global

 70     status = clSetKernelArg(kernel, 7, sizeof(char)*patternlen, NULL);    //local

 71 

 72     /**Step 10: Running the kernel.*/

 73     cl_event enentPoint;

 74     int globalWorkItem=textlen/64;

 75 

 76     if(textlen%64 != 0)

 77         globalWorkItem++;

 78     size_t groupNUm[1]={globalWorkItem};

 79     size_t localNUm[1]={256};

 80 

 81     status = clEnqueueNDRangeKernel(commandQueue, kernel, 1, NULL, groupNUm, localNUm, 0, NULL, &enentPoint);

 82 

 83     clWaitForEvents(1,&enentPoint); ///wait

 84     clReleaseEvent(enentPoint);

 85     int    count=0;

 86     status = clEnqueueReadBuffer(commandQueue, resultCountBuffer, CL_TRUE, 0, sizeof(int), &count, 0, NULL, NULL);

 87     cout<<"\nNumber of matches:"<<count<<endl;

 88 

 89     /**Step 12: Clean the resources.*/

 90     status = clReleaseKernel(kernel);//*Release kernel.

 91     status = clReleaseProgram(program);    //Release the program object.

 92     status = clReleaseMemObject(resultBuffer);//Release mem object.

 93     status = clReleaseMemObject(textBuffer);//Release mem object.

 94     status = clReleaseMemObject(resultCountBuffer);//Release mem object.

 95     status = clReleaseMemObject(patternBuffer);//Release mem object.

 96     status = clReleaseCommandQueue(commandQueue);//Release  Command queue.

 97     status = clReleaseContext(context);//Release context.

 98 

 99     free(devices);

100     free(result);

101     free(resultCount);

102 

103     getchar();

104     return 0;

105 }
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本文:http://www.cnblogs.com/xudong-bupt/p/3627593.html

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