#include <cstdlib>
#include <iostream>
#include <string>
using namespace std;

class Printer
{
public:
 Printer() { cout << ++i_ << "\n"; }
private:
 static unsigned i_;
};

unsigned Printer::i_ = 0;

int main()
{
 Printer p[1000];
}

简单C版本，在1000处终止:

int print_stuff(int count) {
   printf("%d\n", count);
   return (count ^ 1000) && print_stuff(count+1);
 }

 int main(int argc, char *argv[]) {
   print_stuff(1);
   return 0;
 }

很难看透所有已经提出的解决方案，所以这可能是一个重复。

我想要一些相对简单的东西，只有纯C，而不是c++。它使用递归，但与我看到的其他解相反，它只做对数深度的递归。通过查找表可以避免使用条件。

typedef void (*func)(unsigned, unsigned);
void printLeaf(unsigned, unsigned);
void printRecurse(unsigned, unsigned);


func call[2] = { printRecurse, printLeaf };

/* All array members that are not initialized 
   explicitly are implicitly initialized to 0 
   according to the standard. */
unsigned strat[1000] = { 0, 1 };


void printLeaf(unsigned start, unsigned len) {
  printf("%u\n", start);
}

void printRecurse(unsigned start, unsigned len) {
  unsigned half0 = len / 2;
  unsigned half1 = len - half0;
  call[strat[half0]](start, half0);
  call[strat[half1]](start + half0, half1);
}

int main (int argc, char* argv[]) {
  printRecurse(0, 1000);
}

这甚至可以通过使用一个指针动态地完成。相关的变化:

unsigned* strat = 0;

int main (int argc, char* argv[]) {
  strat = calloc(N, sizeof(*strat));
  strat[1] = 1;
  printRecurse(0, N);
}

#include <stdio.h>

typedef void (*fp) (int);

void stop(int i)
{
   printf("\n");
}

void next(int i);

fp options[2] = { next, stop };

void next(int i)
{
   printf("%d ", i);
   options[i/1000](++i);
}

int main(void)
{
   next(1);
   return 0;
}

template <int To, int From = 1>
struct printer {
    static void print() {
        cout << From << endl; 
        printer<To, From + 1>::print();
    }
};    

template <int Done>
struct printer<Done, Done> {
     static void print() {
          cout << Done << endl;
     }
};

int main() 
{
     printer<1000>::print();
}

OpenMP版本(当然是非有序的):

#include <iostream>
#include <omp.h>

int main(int argc, char** argv)
{
#pragma omp parallel num_threads(1000)
    {           
#pragma omp critical
        {
            std::cout << omp_get_thread_num() << std::endl;
        }
    }

    return 0;
}

(不工作与VS2010 OpenMP运行时(限制为64线程)，但工作在linux上，例如，英特尔编译器)

下面是一个有序的版本:

#include <stdio.h>
#include <omp.h>

int main(int argc, char *argv[])
{
  int i = 1;
  #pragma omp parallel num_threads(1000)
  #pragma omp critical
    printf("%d ", i++);
  return 0;
}