• POJ 1502 MPI Maelstrom


    Description:

    BIT has recently taken delivery of their new supercomputer, a 32 processor Apollo Odyssey distributed shared memory machine with a hierarchical communication subsystem. Valentine McKee's research advisor, Jack Swigert, has asked her to benchmark the new system. 
    ``Since the Apollo is a distributed shared memory machine, memory access and communication times are not uniform,'' Valentine told Swigert. ``Communication is fast between processors that share the same memory subsystem, but it is slower between processors that are not on the same subsystem. Communication between the Apollo and machines in our lab is slower yet.'' 

    ``How is Apollo's port of the Message Passing Interface (MPI) working out?'' Swigert asked. 

    ``Not so well,'' Valentine replied. ``To do a broadcast of a message from one processor to all the other n-1 processors, they just do a sequence of n-1 sends. That really serializes things and kills the performance.'' 

    ``Is there anything you can do to fix that?'' 

    ``Yes,'' smiled Valentine. ``There is. Once the first processor has sent the message to another, those two can then send messages to two other hosts at the same time. Then there will be four hosts that can send, and so on.'' 

    ``Ah, so you can do the broadcast as a binary tree!'' 

    ``Not really a binary tree -- there are some particular features of our network that we should exploit. The interface cards we have allow each processor to simultaneously send messages to any number of the other processors connected to it. However, the messages don't necessarily arrive at the destinations at the same time -- there is a communication cost involved. In general, we need to take into account the communication costs for each link in our network topologies and plan accordingly to minimize the total time required to do a broadcast.''

    Input:

    The input will describe the topology of a network connecting n processors. The first line of the input will be n, the number of processors, such that 1 <= n <= 100. 

    The rest of the input defines an adjacency matrix, A. The adjacency matrix is square and of size n x n. Each of its entries will be either an integer or the character x. The value of A(i,j) indicates the expense of sending a message directly from node i to node j. A value of x for A(i,j) indicates that a message cannot be sent directly from node i to node j. 

    Note that for a node to send a message to itself does not require network communication, so A(i,i) = 0 for 1 <= i <= n. Also, you may assume that the network is undirected (messages can go in either direction with equal overhead), so that A(i,j) = A(j,i). Thus only the entries on the (strictly) lower triangular portion of A will be supplied. 

    The input to your program will be the lower triangular section of A. That is, the second line of input will contain one entry, A(2,1). The next line will contain two entries, A(3,1) and A(3,2), and so on.

    Output:

    Your program should output the minimum communication time required to broadcast a message from the first processor to all the other processors.

    Sample Input:

    5
    50
    30 5
    100 20 50
    10 x x 10

    Sample Output:

    35

    题意:有n个处理器,它们之间可以互相传递信息,不过传递的时间不同,一个处理器可以同时给其它的处理器传递信息,问编号为1的处理器同时传递给剩余所有的处理器所需要的最少时间,即求出编号为1的处理器到剩余某个点的最大时间值。
    输入时只输入了主对角线一下的部分,因为这是一个双向图,'x'表示两点之间不能直接到达。
    #include<stdio.h>
    #include<string.h>
    #include<queue>
    #include<algorithm>
    using namespace std;
    
    const int INF=0x3f3f3f3f;
    const int N=110;
    
    int G[N][N], dist[N], vis[N], n;
    
    void Init()
    {
        int i, j;
    
        for (i = 0; i <= n; i++)
        {
            dist[i] = INF;
            vis[i] = 0;
            for (j = 0; j <= n; j++)
                G[i][j] = INF;
            G[i][i] = 0;
        }
    }
    
    void Dist()
    {
        int i, u;
        queue<int>Q;
    
        Q.push(1);
        vis[1] = 1;
        dist[1] = 0;
    
        while (!Q.empty())
        {
            u = Q.front(); Q.pop();
    
            for (i = 1; i <= n; i++)
            {
                if (dist[i] > dist[u]+G[u][i])
                {
                    dist[i] = dist[u]+G[u][i];
    
                    if (!vis[i])
                    {
                        vis[i] = 1;
                        Q.push(i);
                    }
                }
            }
    
            vis[u] = 0;
        }
    }
    
    int main ()
    {
        int i, j, k, a, Max;
        char s[10];
    
        while (scanf("%d", &n) != EOF)
        {
            Init();
    
            for (i = 2; i <= n; i++)
            {
                for (j = 1; j < i; j++)
                {
                    scanf("%s", s);
    
                    if (s[0] != 'x')
                    {
                        a = 0;
                        for (k = 0; s[k] != ''; k++)
                            a = a * 10 + (s[k] - '0');
                        G[i][j] = G[j][i] = a;
                    }
                }
            }
    
            Dist();
    
            Max = 0;
            for (i = 1; i <= n; i++)
                Max = max(Max, dist[i]);
    
            printf("%d
    ", Max);
        }
    
        return 0;
    }
  • 相关阅读:
    课堂作业
    大道至简读后感
    读《大道至简》有感
    大道至简第四章-流于形式的沟通
    Java课堂动手动脑-截图集锦
    Java动手动脑课后作业1-求创建对象个数
    Java-消息框显示两整数加减乘除
    JAVA-实践问题
    Java-整数相加求和
    大道至简-是懒人造就了方法
  • 原文地址:https://www.cnblogs.com/syhandll/p/4739861.html
Copyright © 2020-2023  润新知