个人中心
gpt4 book ai didi

c++ - OpenMP C++ 无法通过处理器数量获得线性加速

转载 作者：行者123 更新时间：2023-11-30 04:17:13 25 4
gpt4 key购买 nike

<分区>

请查看下面的结果，让我知道我可以在哪里进一步优化我的代码以获得更好的加速。

Result

使用的机器:Mac Book Pro 处理器:2.5 GHz Intel Core i5(至少 4 个逻辑核心)
内存:4GB 1600 MHz 编译器:Mac OSX 编译器

Sequential Time:0.016466
Using two threads:0.0120111
Using four threads:0.0109911(Speed Up ~ 1.5)
Using 8 threads: 0.0111289

二号机: 操作系统:Linux 硬件:Intel(R) Core™ i5-3550 CPU @ 3.30GHz × 4 内存:7.7 GiB 编译器:G++ 4.6 版

Sequential Time:0.0128901
Using two threads:0.00838804
Using four threads:0.00612688(Speed up = 2)
Using 8 threads: 0.0101049

请让我知道我的代码中没有提供线性加速的开销是多少。代码中没有太多内容。我在主函数中这样调用函数“findParallelUCHWOUP”:

#pragma omp parallel for private(th_id)
for (th_id = 0; th_id < nthreads; th_id++)
    findParallelUCHWOUP(points, th_id + 1, nthreads, inp_size, first[th_id], last[th_id]);

代码:

class Point {
    double i, j;
public:
    Point() {
        i = 0;
        j = 0;
    }
    Point(double x, double y) {
        i = x;
        j = y;
    }
    double x() const {
        return i;
    }
    double y() const {
        return j;
    }
    void setValue(double x, double y) {
        i = x;
        j = y;
    }

};
typedef std::vector<Point> Vector;

int second(std::stack<int> &s);
double crossProduct(Point v[], int a, int b, int c);
bool myfunction(Point a, Point b) {
    return ((a.x() < b.x()) || (a.x() == b.x() && a.y() < b.y()));
}

class CTPoint {
    int i, j;
public:
    CTPoint() {
        i = 0;
        j = 0;
    }
    CTPoint(int x, int y) {
        i = x;
        j = y;
    }
    double getI() const {
        return i;
    }
    double getJ() const {
        return j;
    }
};

const int nthreads = 4;
const int inp_size = 1000000;
Point output[inp_size];
int numElems = inp_size / nthreads;
int sizes[nthreads];
CTPoint ct[nthreads][nthreads];


//function that is called from different threads

    int findParallelUCHWOUP(Point* iv, int id, int thread_num, int inp_size, int first, int last) {


        output[first] = iv[first];
        std::stack<int> s;
        s.push(first);
        int i = first + 1;
        while (i < last) {
            if (crossProduct(iv, i, first, last) > 0) {
                s.push(i);
                i++;
                break;
            } else {
                i++;
            }
        }

        if (i == last) {
            s.push(last);
            return 0;
        }

        for (; i <= last; i++) {
            if (crossProduct(iv, i, first, last) >= 0) {
                while (s.size() > 1 && crossProduct(iv, s.top(), second(s), i) <= 0) {
                    s.pop();
                }
                s.push(i);
            }

        }

        int count = s.size();
        sizes[id - 1] = count;
        while (!s.empty()) {
            output[first + count - 1] = iv[s.top()];
            s.pop();
            count--;
        }

        return 0;
    }

    double crossProduct(Point* v, int a, int b, int c) {

        return (v[c].x() - v[b].x()) * (v[a].y() - v[b].y())
                - (v[a].x() - v[b].x()) * (v[c].y() - v[b].y());

    }

    int second(std::stack<int> &s) {

        int temp = s.top();
        s.pop();
        int sec = s.top();
        s.push(temp);
        return sec;
    }

    //reads points from a file and divides the array of points to different threads

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

    // read points from a file and assign them to the input array.
        Point *points = new Point[inp_size];
        unsigned i = 0;
        while (i < Points.size()) {
            points[i] = Points[i];
            i++;
        }



        numElems = inp_size / nthreads;
        int first[nthreads];
        int last[nthreads];
        for(int i=1;i<=nthreads;i++){
            first[i-1] = (i - 1) * numElems;
                if (i == nthreads) {
                    last[i-1] = inp_size - 1;
                } else {
                    last[i-1] = i * numElems - 1;
                }
        }

    /* Parallel Code starts here*/

        int th_id;

        omp_set_num_threads(nthreads);
        double start = omp_get_wtime();
    #pragma omp parallel for private(th_id)
        for (th_id = 0; th_id < nthreads; th_id++)
            findParallelUCHWOUP(points, th_id + 1, nthreads, inp_size, first[th_id], last[th_id]);

    /* Parallel Code ends here*/

        double end = omp_get_wtime();
        double diff = end - start;
        std::cout << "Time Elapsed in seconds:" << diff << '\n';

        return 0;
    }

25 4 0
文章推荐： android - 我如何以编程方式检索 android 上的导航历史记录？
文章推荐： java - .ods 电子表格到 JTable
文章推荐： android - NullPointerException openOrCreateDatabase Android
文章推荐： java - 停止 JAVA 中的递归函数(从线程内)
行者123
个人简介

我是一名优秀的程序员,十分优秀！

滴滴打车优惠券免费领取
滴滴打车优惠券
Copyright 2021 - 2024 cfsdn All Rights Reserved 蜀ICP备2022000587号
广告合作:1813099741@qq.com 6ren.com