我只是发布这个（这几乎是所有 C 代码，但 pthreads 也是如此，所以请稍微松懈一下）来演示一种方法来做我认为你想要完成的事情。显然，您希望将其中的大部分正确地封装在适当的类等中。希望这将向您展示条件变量、互斥锁以及它们与谓词管理和通知的关系如何工作。
希望对你有帮助。祝你有美好的一天。
#include <iostream>
#include <unistd.h>
#include <pthread.h>
using namespace std;
// our global condition variable and mutex
pthread_cond_t cv = PTHREAD_COND_INITIALIZER;
pthread_mutex_t mtx = PTHREAD_MUTEX_INITIALIZER;
// our predicate values.
bool finished = false;
int jobs_waiting = 0;
int jobs_completed = 0;
// our thread proc
static void *worker_proc(void* p)
{
intptr_t id = (intptr_t)p; // our id
size_t n_completed = 0; // our job completion count
// always latch prior to eval'ing predicate vars.
pthread_mutex_lock(&mtx);
while (!finished)
{
// wait for finish or work-waiting predicate
while (!finished && jobs_waiting == 0)
pthread_cond_wait(&cv, &mtx);
// we own the mutex, so we're free to look at, modify
// etc. the values(s) that we're using for our predicate
if (finished)
break;
// must be a job_waiting, reduce that number by one, then
// unlock the mutex and start our work. Note that we're
// changing the predicate (jobs_waiting is part of it) and
// we therefore need to let anyone that is monitoring know.
--jobs_waiting;
pthread_cond_broadcast(&cv);
pthread_mutex_unlock(&mtx);
// DO WORK HERE (this just runs a lame summation)
for (int i=0,x=0;i<1048576; x += ++i);
++n_completed;
// finished work latch mutex and setup changes
pthread_mutex_lock(&mtx);
++jobs_completed;
pthread_cond_broadcast(&cv);
}
// final report
cout << id << ": jobs completed = " << n_completed << endl;
// we always exit owning the mutex, so unlock it now. but
// let anyone else know they should be quitting as well.
pthread_cond_broadcast(&cv);
pthread_mutex_unlock(&mtx);
return p;
}
// sets up a batch of work and waits for it to finish.
void run_batch(int num)
{
pthread_mutex_lock(&mtx);
jobs_waiting = num;
jobs_completed = 0;
pthread_cond_broadcast(&cv);
// wait or all jobs to complete.
while (jobs_completed != num)
pthread_cond_wait(&cv, &mtx);
// we own this coming out, so let it go.
pthread_mutex_unlock(&mtx);
}
// main entry point.
int main()
{
// number of threads in our crew
static const size_t N = 7;
pthread_t thrds[N] = {0};
// startup thread crew.
intptr_t id = 0;
for (size_t i=0; i<N; ++i)
pthread_create(thrds + i, NULL, worker_proc, (void*)(++id));
// run through batches. each batch is one larger
// than the prior batch. this should result in some
// interesting job-counts per-thread.
for (int i=0; i<64; ++i)
run_batch(i);
// flag for shutdown state.
pthread_mutex_lock(&mtx);
finished = true;
pthread_cond_broadcast(&cv);
pthread_mutex_unlock(&mtx);
for (size_t i=0; i<N; pthread_join(thrds[i++], NULL));
return 0;
}
样本输出 #1
3: jobs completed = 256
6: jobs completed = 282
5: jobs completed = 292
2: jobs completed = 242
1: jobs completed = 339
4: jobs completed = 260
7: jobs completed = 409
样本输出 #2
6: jobs completed = 882
1: jobs completed = 210
4: jobs completed = 179
5: jobs completed = 178
2: jobs completed = 187
7: jobs completed = 186
3: jobs completed = 194
样本输出#3
1: jobs completed = 268
6: jobs completed = 559
3: jobs completed = 279
5: jobs completed = 270
2: jobs completed = 164
4: jobs completed = 317
7: jobs completed = 159
固定批量大小
相同的代码，但改变了这一点：
for (int i=0; i<64; ++i)
run_batch(i);
对此：
for (int i=0; i<64; ++i)
run_batch(N);
给出以下内容，这可能更接近你真正想要的。
样本输出 #1
4: jobs completed = 65
2: jobs completed = 63
5: jobs completed = 66
3: jobs completed = 63
1: jobs completed = 64
7: jobs completed = 63
6: jobs completed = 64
样本输出 #2
3: jobs completed = 65
5: jobs completed = 62
1: jobs completed = 67
7: jobs completed = 63
2: jobs completed = 65
6: jobs completed = 61
4: jobs completed = 65
样本输出#3
2: jobs completed = 58
4: jobs completed = 61
5: jobs completed = 69
7: jobs completed = 68
3: jobs completed = 61
1: jobs completed = 64
6: jobs completed = 67