【发布时间】:2015-09-10 23:09:33
【问题描述】:
我正在运行这个
#include <boost/mpi.hpp>
#include <iostream>
#include <vector>
#include <cstdlib>
#include <time.h>
namespace mpi = boost::mpi;
int main()
{
mpi::environment env;
mpi::communicator world;
srand (time(NULL));
std::srand(time(0) + world.rank());
int my_number = std::rand();
if (world.rank() == 0) {
std::vector<int> all_numbers;
gather(world, my_number, all_numbers, 0);
for (int proc = 0; proc < world.size(); ++proc)
std::cout << "Process #" << proc << " thought of "
<< all_numbers[proc] << std::endl;
} else {
gather(world, my_number, 0);
}
return 0;
}
为了分布式生成随机数,但是,它每次都会给我大约相同数量级的数字....
dhcp-18-189-66-216:ising2 myname$ make
mpic++ -I/usr/local/include/boost -L/usr/local/lib -lboost_mpi -lboost_serialization main.cpp -o main
mpirun -n 4 main
Process #0 thought of 238772362
Process #1 thought of 238789169
Process #2 thought of 238805976
Process #3 thought of 238822783
dhcp-18-189-66-216:ising2 myname$ make
mpic++ -I/usr/local/include/boost -L/usr/local/lib -lboost_mpi -lboost_serialization main.cpp -o main
mpirun -n 4 main
Process #0 thought of 238805976
Process #1 thought of 238822783
Process #2 thought of 238839590
Process #3 thought of 238856397
dhcp-18-189-66-216:ising2 myname$ make
mpic++ -I/usr/local/include/boost -L/usr/local/lib -lboost_mpi -lboost_serialization main.cpp -o main
mpirun -n 4 main
Process #0 thought of 238856397
Process #1 thought of 238873204
Process #2 thought of 238890011
Process #3 thought of 238906818
dhcp-18-189-66-216:ising2 myname$
在网站上,http://www.boost.org/doc/libs/1_55_0/doc/html/mpi/tutorial.html,其他人说他们得到了:
Process #0 thought of 332199874
Process #1 thought of 20145617
Process #2 thought of 1862420122
Process #3 thought of 480422940
Process #4 thought of 1253380219
Process #5 thought of 949458815
Process #6 thought of 650073868
我很困惑....有什么帮助吗?谢谢。
【问题讨论】:
-
为什么要播种两次?
-
使用
std::rand是您的问题。 不要。 It's basically junk。使用proper random number generator。 -
@ScottHunter 我用十几种不同的方法将该评论修改为一个链接。
rand()长期以来一直被认为几乎无用。除非你真的不在乎你的数字有多随机,否则请使用适当的库。 -
思考一下:任何始终保证从相同输入产生相同输出的算法都是确定性的。确定性算法不能输出比输入它们更多的随机性。