I have a program in which multiple threads are in a loop where they acquire a binary semaphore and then increase a global counter. However, by printing out the thread IDs, I notice that only one thread ever acquires the semaphore. Here's my MRE:
#include <stdbool.h>
#include <stdio.h>
#include <unistd.h>
#include <pthread.h>
#include <semaphore.h>
#define NUM_THREADS 10
#define MAX_COUNTER 100
struct threadCtx {
sem_t sem;
unsigned int counter;
};
static void *
threadFunc(void *args)
{
struct threadCtx *ctx = args;
pthread_t self;
bool done = false;
self = pthread_self();
while (!done) {
sem_wait(&ctx->sem);
if ( ctx->counter == MAX_COUNTER ) {
done = true;
}
else {
sleep(1);
printf("Thread %u increasing the counter to %u\n", (unsigned int)self, ++ctx->counter);
}
sem_post(&ctx->sem);
}
return NULL;
}
int main() {
pthread_t threads[NUM_THREADS];
struct threadCtx ctx = {.counter = 0};
sem_init(&sem.ctx, 0, 1);
for (int k=0; k<NUM_THREADS; k++) {
pthread_create(threads+k, NULL, threadFunc, &ctx);
}
for (int k=0; k<NUM_THREADS; k++) {
pthread_join(threads[k], NULL);
}
sem_destroy(&ctx.sem);
return 0;
}
The output is
Thread 1004766976 increasing the counter to 1
Thread 1004766976 increasing the counter to 2
Thread 1004766976 increasing the counter to 3
...
If I remove the call to sleep, the behavior is closer to what I would expect (i.e., the threads being woken up in a seemingly indeterminate manner). Why would this be?
David Schwartz's answer explains what is happening at a low level. That is to say, he's looking at it from the perspective of an OS developer or a hardware designer. Nothing wrong with that, but let's look at your program from the perspective of a Software Architect:
You've got multiple threads all executing the same loop. The loop locks the mutex,* it does some "work," and then it releases the mutex. OK, but what does it do next? Almost the very next thing that your loop does after releasing the mutex is it locks the mutex again. Your loop spends practically 100% of its time doing "work" with the mutex locked.
So, what's the point of running that same loop in multiple threads when there's never any opportunity for two or more threads to work at the same time?
If you want to use threads to do a parallel computation, you need to find/invent safe ways for the threads to do most of their work with the mutex unlocked. They should only lock a mutex for just long enough to post a result or, to take another assignment.
Sometimes that means writing code that is less efficient than single threaded code would be. But suppose that program (A) has a single thread that makes almost 100% use of a CPU, while program (B) uses eight CPUs but only uses them with 50% efficiency. Which program is going to win?
* I know, your example uses a sem_t (semaphore) object. But "semaphore" is what you are using. "Mutex" is the role in which you are using it.
Why would this be?
Context switches are expensive and your implementation is, wisely, minimizing them. Your threads are all fighting over the same resource, trying to schedule them closely will make performance much worse, probably for the entire system.
Since the thread that keeps getting the semaphore never uses up its timeslice, it will keep getting the resource. It is your responsibility to write code to do the work that you want done. It's the implementation's responsibility to execute your code as efficiently as it can, and that's what it's doing.
Most likely, what's going under the hood is this:
The thread that keeps getting the sempahore can always make forward progress except when it is sleeping. But when it is sleeping, no other thread that needs the sempahore can make forward progress.
The thread that keeps getting the semaphore never exhausts its timeslice because it sleeps before that happens.
So there is no reason for the implementation to ever block this thread other than when it is sleeping, meaning that no other thread can get the semaphore. If you don't want this thread to keep sleeping with the semaphore and blocking other threads, then write different code.
Related
This might be a dumb question, i'm very sorry if that's the case. But i'm struggling to take advantage of the multiple cores in my computer to perform multiple computations at the same time in my Quad-Core MacBook. This is not for any particular project, just a general question, since i want to learn for when i eventually do need to do this kind of things
I am aware of threads, but the seem to run in the same core, so i don't seem to gain any performance using them for compute-bound operations (They are very useful for socket based stuff tho!).
I'm also aware of processed that can be created with fork, but i'm nor sure they are guaranteed to use more CPU, or if they, like threads, just help with IO-bound operations.
Finally i'm aware of CUDA, allowing paralellism in the GPU (And i think OpenCL and Compute Shaders also allows my code to run in the CPU in parallel) but i'm currently looking for something that will allow me to take advantage of the multiple CPU cores that my computer has.
In python, i'm aware of the multiprocessing module, which seems to provide an API very similar to threads, but there i do seem to gain an edge by running multiple functions performing computations in parallel. I'm looking into how could i get this same advantage in C, but i don't seem to be able
Any help pointing me to the right direction would be very much appreciated
Note: I'm trying to achive true parallelism, not concurrency
Note 2: I'm only aware of threads and using multiple processes in C, with threads i don't seem to be able to win the performance boost i want. And i'm not very familiar with processes, but i'm still not sure if running multiple processes is guaranteed to give me the advantage i'm looking for.
A simple program to heat up your CPU (100% utilization of all available cores).
Hint: The thread starting function does not return, program exit via [CTRL + C]
#include <pthread.h>
void* func(void *arg)
{
while (1);
}
int main()
{
#define NUM_THREADS 4 //use the number of cores (if known)
pthread_t threads[NUM_THREADS];
for (int i=0; i < NUM_THREADS; ++i)
pthread_create(&threads[i], NULL, func, NULL);
for (int i=0; i < NUM_THREADS; ++i)
pthread_join(threads[i], NULL);
return 0;
}
Compilation:
gcc -pthread -o thread_test thread_test.c
If i start ./thread_test, all cores are at 100%.
A word to fork and pthread_create:
fork creates a new process (the current process image will be copied and executed in parallel), while pthread_create will create a new thread, sometimes called a lightweight process.
Both, processes and threads will run in 'parallel' to the parent process.
It depends, when to use a child process over a thread, e.g. a child is able to replace its process image (via exec family) and has its own address space, while threads are able to share the address space of the current parent process.
There are of course a lot more differences, for that i recommend to study the following pages:
man fork
man pthreads
I am aware of threads, but the seem to run in the same core, so i don't seem to gain any performance using them for compute-bound operations (They are very useful for socket based stuff tho!).
No, they don't. Except if you block and your threads don't block, you'll see alll of them running. Just try this (beware that this consumes all your cpu time) that starts 16 threads each counting in a busy loop for 60 s. You will see all of them running and makins your cores to fail to their knees (it runs only a minute this way, then everything ends):
#include <assert.h>
#include <pthread.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#define N 16 /* had 16 cores, so I used this. Put here as many
* threads as cores you have. */
struct thread_data {
pthread_t thread_id; /* the thread id */
struct timespec end_time; /* time to get out of the tunnel */
int id; /* the array position of the thread */
unsigned long result; /* number of times looped */
};
void *thread_body(void *data)
{
struct thread_data *p = data;
p->result = 0UL;
clock_gettime(CLOCK_REALTIME, &p->end_time);
p->end_time.tv_sec += 60; /* 60 s. */
struct timespec now;
do {
/* just get the time */
clock_gettime(CLOCK_REALTIME, &now);
p->result++;
/* if you call printf() you will see them slowing, as there's a
* common buffer that forces all thread to serialize their outputs
*/
/* check if we are over */
} while ( now.tv_sec < p->end_time.tv_sec
|| now.tv_nsec < p->end_time.tv_nsec);
return p;
} /* thread_body */
int main()
{
struct thread_data thrd_info[N];
for (int i = 0; i < N; i++) {
struct thread_data *d = &thrd_info[i];
d->id = i;
d->result = 0;
printf("Starting thread %d\n", d->id);
int res = pthread_create(&d->thread_id,
NULL, thread_body, d);
if (res < 0) {
perror("pthread_create");
exit(EXIT_FAILURE);
}
printf("Thread %d started\n", d->id);
}
printf("All threads created, waiting for all to finish\n");
for (int i = 0; i < N; i++) {
struct thread_data *joined;
int res = pthread_join(thrd_info[i].thread_id,
(void **)&joined);
if (res < 0) {
perror("pthread_join");
exit(EXIT_FAILURE);
}
printf("PTHREAD %d ended, with value %lu\n",
joined->id, joined->result);
}
} /* main */
Linux and all multithread systems work the same, they create a new execution unit (if both don't share the virtual address space, they are both processes --not exactly so, but this explains the main difference between a process and a thread--) and the available processors are given to each thread as necessary. Threads are normally encapsulated inside processes (they share ---not in linux, if that has not changed recently--- the process id, and virtual memory) Processes run each in a separate virtual space, so they can only share things through the system resources (files, shared memory, communication sockets/pipes, etc.)
The problem with your test case (you don't show it so I have go guess) is that probably you will make all threads in a loop in which you try to print something. If you do that, probably the most time each thread is blocked trying to do I/O (to printf() something)
Stdio FILEs have the problem that they share a buffer between all threads that want to print on the same FILE, and the kernel serializes all the write(2) system calls to the same file descriptor, so if the most of the time you pass in the loop is blocked in a write, the kernel (and stdio) will end serializing all the calls to print, making it to appear that only one thread is working at a time (all the threads will become blocked by the one that is doing the I/O) This busy loop will make all the threads to run in parallel and will show you how the cpu is collapsed.
Parallelism in C can be achieved by using the fork() function. This function simulates a thread by allowing two threads to run simultaneously and share data. The first thread forks itself, and the second thread is then executed as if it was launched from main(). Forking allows multiple processes to be Run concurrently without conflicts arising.
To make sure that data is shared appropriately between the two threads, use the wait() function before accessing shared resources. Wait will block execution of the current program until all database connections are closed or all I/O has been completed, whichever comes first.
I just started learning about threads, mutexes and condition variables and I have this code:
#include <pthread.h>
#include <stdio.h>
#include <stdbool.h>
#include <stdlib.h>
static pthread_cond_t cond = PTHREAD_COND_INITIALIZER;
static pthread_mutex_t mutex;
static pthread_mutexattr_t attr;
volatile int x = 0;
void *thread_one_function (void *dummy) {
printf("In func one.");
while (true) {
pthread_mutex_lock (&mutex);
x = rand ();
pthread_cond_signal (&cond);
pthread_mutex_unlock (&mutex);
}
}
void *thread_two_function (void *dummy) {
printf("In func two.");
pthread_mutex_lock (&mutex);
while (x != 10) {
pthread_cond_wait (&cond, &mutex);
}
printf ("%d\n", x);
pthread_mutex_unlock (&mutex);
printf ("%d\n", x);
}
int main (void){
pthread_mutexattr_init (&attr);
pthread_mutexattr_settype (&attr, PTHREAD_MUTEX_RECURSIVE);
pthread_mutex_init (&mutex, &attr);
pthread_t one, two;
pthread_create(&one,NULL,thread_one_function,NULL);
pthread_create(&two,NULL,thread_two_function,NULL);
//pthread_join(one,NULL); //with this program will not end.
//pthread_join(two,NULL);
return 0;
}
I compile it as gcc prog.c -lpthread -o a.exe
And I am getting no output. Not even that my threads get into those two functions...
What am I doing wrong ? My code is created as a combination from multiple documentations.
Thanks for any help.
The most likely reason for you getting no output is that the main thread returns from the initial call to main() immediately after starting the threads. That terminates the program, including the newly-created threads.
It does not help that neither do the threads' initial messages end with newlines nor do the threads flush the standard output after the printf calls. The standard output is line-buffered when connected to a terminal, so actual delivery of those messages to the terminal will be deferred in your example.
The main thread should join the other two before it terminates. Your code comments indicate that you had other issues when you did that, but going without joining those threads is not a correct solution if in fact you want the additional threads to run to completion. The problem is not joining the threads, but rather that the threads are not terminating.
There's a pretty clear reason why the thread_one_function thread does not terminate, which I am sure you will recognize if you look for it. But what about the thread_two_function thread? The reasons for that taking a long time to terminate are at least twofold:
the more obvious one is the one hinted in #dbush's comment on the question. Consider the range of the rand() function: how many calls do you think it might take before it returns the one, specific result that thread_two_function is looking for?
moreover, how often is thread_two_function even going to get a chance to check? Consider: thread_one_function runs a tight loop in which it acquires the mutex at the top and releases it at the bottom. Pthreads mutexes do not implement any kind of fairness policy, so when thread_one_function loops around and tries to reacquire the mutex immediately after releasing it, it has a very high probability of succeeding immediately, even though thread_two_function may be trying to acquire the mutex too.
It would make more sense for your threads to take turns. That is, after generating a new number, thread_one_function would wait for thread_two_function to check it before generating another. There are several ways you could implement that. Some involve using the same condition variable in thread_one_function that you do in thread_two_function. (Details left as an exercise.) I would suggest also providing a means by which thread_two_function can tell thread_one_function that it doesn't need to generate any more numbers, and should instead terminate.
Finally, do be aware that volatile has no particular place here. It is not useful or appropriate for synchronization, whereas the mutex alone is entirely sufficient for that. It's not exactly wrong to declare x volatile, but it's extraneous.
This question already has an answer here:
Pthread_create() incorrect start routine parameter passing
(1 answer)
Closed 3 years ago.
I tried to build a program which should create threads and assign a Print function to each one of them, while the main process should use printf function directly.
Firstly, I made it without any synchronization means and expected to get a randomized output.
Later I tried to add a mutex to the Print function which was assigned to the threads and expected to get a chronological output but it seems like the mutex had no effect about the output.
Should I use a mutex on the printf function in the main process as well?
Thanks in advance
My code:
#include <stdio.h>
#include <pthread.h>
#include <errno.h>
pthread_t threadID[20];
pthread_mutex_t lock;
void* Print(void* _num);
int main(void)
{
int num = 20, indx = 0, k = 0;
if (pthread_mutex_init(&lock, NULL))
{
perror("err pthread_mutex_init\n");
return errno;
}
for (; indx < num; ++indx)
{
if (pthread_create(&threadID[indx], NULL, Print, &indx))
{
perror("err pthread_create\n");
return errno;
}
}
for (; k < num; ++k)
{
printf("%d from main\n", k);
}
indx = 0;
for (; indx < num; ++indx)
{
if (pthread_join(threadID[indx], NULL))
{
perror("err pthread_join\n");
return errno;
}
}
pthread_mutex_destroy(&lock);
return 0;
}
void* Print(void* _indx)
{
pthread_mutex_lock(&lock);
printf("%d from thread\n", *(int*)_indx);
pthread_mutex_unlock(&lock);
return NULL;
}
All questions of program bugs notwithstanding, pthreads mutexes provide only mutual exclusion, not any guarantee of scheduling order. This is typical of mutex implementations. Similarly, pthread_create() only creates and starts threads; it does not make any guarantee about scheduling order, such as would justify an assumption that the threads reach the pthread_mutex_lock() call in the same order that they were created.
Overall, if you want to order thread activities based on some characteristic of the threads, then you have to manage that yourself. You need to maintain a sense of which thread's turn it is, and provide a mechanism sufficient to make a thread notice when it's turn arrives. In some circumstances, with some care, you can do this by using semaphores instead of mutexes. The more general solution, however, is to use a condition variable together with your mutex, and some shared variable that serves as to indicate who's turn it currently is.
The code passes the address of the same local variable to all threads. Meanwhile, this variable gets updated by the main thread.
Instead pass it by value cast to void*.
Fix:
pthread_create(&threadID[indx], NULL, Print, (void*)indx)
// ...
printf("%d from thread\n", (int)_indx);
Now, since there is no data shared between the threads, you can remove that mutex.
All the threads created in the for loop have different value of indx. Because of the operating system scheduler, you can never be sure which thread will run. Therefore, the values printed are in random order depending on the randomness of the scheduler. The second for-loop running in the parent thread will run immediately after creating the child threads. Again, the scheduler decides the order of what thread should run next.
Every OS should have an interrupt (at least the major operating systems have). When running the for-loop in the parent thread, an interrupt might happen and leaves the scheduler to make a decision of which thread to run. Therefore, the numbers being printed in the parent for-loop are printed randomly, because all threads run "concurrently".
Joining a thread means waiting for a thread. If you want to make sure you print all numbers in the parent for loop in chronological order, without letting child thread interrupt it, then relocate the for-loop section to be after the thread joining.
I'd like to create multi-threads program in C (Linux) with:
Infinite loop with infinite number of tasks
One thread per one task
Limit the total number of threads, so if for instance total threads number is more then MAX_THREADS_NUMBER, do sleep(), until total threads number become less then MAX_THREADS_NUMBER, continue after.
Resume: I need to do infinite number of tasks(one task per one thread) and I'd like to know how to implement it using pthreads in C.
Here is my code:
#include <stdio.h>
#include <string.h>
#include <pthread.h>
#include <stdlib.h>
#include <unistd.h>
#define MAX_THREADS 50
pthread_t thread[MAX_THREADS];
int counter;
pthread_mutex_t lock;
void* doSomeThing(void *arg)
{
pthread_mutex_lock(&lock);
counter += 1;
printf("Job %d started\n", counter);
pthread_mutex_unlock(&lock);
return NULL;
}
int main(void)
{
int i = 0;
int ret;
if (pthread_mutex_init(&lock, NULL) != 0)
{
printf("\n mutex init failed\n");
return 1;
}
for (i = 0; i < MAX_THREADS; i++) {
ret = pthread_create(&(thread[i]), NULL, &doSomeThing, NULL);
if (ret != 0)
printf("\ncan't create thread :[%s]", strerror(ret));
}
// Wait all threads to finish
for (i = 0; i < MAX_THREADS; i++) {
pthread_join(thread[i], NULL);
}
pthread_mutex_destroy(&lock);
return 0;
}
How to make this loop infinite?
for (i = 0; i < MAX_THREADS; i++) {
ret = pthread_create(&(thread[i]), NULL, &doSomeThing, NULL);
if (ret != 0)
printf("\ncan't create thread :[%s]", strerror(ret));
}
I need something like this:
while (1) {
if (thread_number > MAX_THREADS_NUMBER)
sleep(1);
ret = pthread_create(...);
if (ret != 0)
printf("\ncan't create thread :[%s]", strerror(ret));
}
Your current program is based on a simple dispatch design: the initial thread creates worker threads, assigning each one a task to perform. Your question is, how you make this work for any number of tasks, any number of worker threads. The answer is, you don't: your chosen design makes such a modification basically impossible.
Even if I were to answer your stated questions, it would not make the program behave the way you'd like. It might work after a fashion, but it'd be like a bicycle with square wheels: not very practical, nor robust -- not even fun after you stop laughing at how silly it looks.
The solution, as I wrote in a comment to the original question, is to change the underlying design: from a simple dispatch to a thread pool approach.
Implementing a thread pool requires two things: First, is to change your viewpoint from starting a thread and having it perform a task, to each thread in the "pool" grabbing a task to perform, and returning to the "pool" after they have performed it. Understanding this is the hard part. The second part, implementing a way for each thread to grab a new task, is simple: this typically centers around a data structure, protected with locks of some sort. The exact data structure does depend on what the actual work to do is, however.
Let's assume you wanted to parallelize the calculation of the Mandelbrot set (or rather, the escape time, or the number of iterations needed before a point can be ruled to be outside the set; the Wikipedia page contains pseudocode for exactly this). This is one of the "embarrassingly parallel" problems; those where the sub-problems (here, each point) can be solved without any dependencies.
Here's how I'd do the core of the thread pool in this case. First, the escape time or iteration count needs to be recorded for each point. Let's say we use an unsigned int for this. We also need the number of points (it is a 2D array), a way to calculate the complex number that corresponds to each point, plus some way to know which points have either been computed, or are being computed. Plus mutually exclusive locking, so that only one thread will modify the data structure at once. So:
typedef struct {
int x_size, y_size;
size_t stride;
double r_0, i_0;
double r_dx, i_dx;
double r_dy, i_dy;
unsigned int *iterations;
sem_t done;
pthread_mutex_t mutex;
int x, y;
} fractal_work;
When an instance of fractal_work is constructed, x_size and y_size are the number of columns and rows in the iterations map. The number of iterations (or escape time) for point x,y is stored in iterations[x+y*stride]. The real part of the complex coordinate for that point is r_0 + x*r_dx + y*r_dy, and imaginary part is i_0 + x*i_dx + y*i_dy (which allows you to scale and rotate the fractal freely).
When a thread grabs the next available point, it first locks the mutex, and copies the x and y values (for itself to work on). Then, it increases x. If x >= x_size, it resets x to zero, and increases y. Finally, it unlocks the mutex, and calculates the escape time for that point.
However, if x == 0 && y >= y_size, the thread posts on the done semaphore and exits, letting the initial thread know that the fractal is complete. (The initial thread just needs to call sem_wait() once for each thread it created.)
The thread worker function is then something like the following:
void *fractal_worker(void *data)
{
fractal_work *const work = (fractal_work *)data;
int x, y;
while (1) {
pthread_mutex_lock(&(work->mutex));
/* No more work to do? */
if (work->x == 0 && work->y >= work->y_size) {
sem_post(&(work->done));
pthread_mutex_unlock(&(work->mutex));
return NULL;
}
/* Grab this task (point), advance to next. */
x = work->x;
y = work->y;
if (++(work->x) >= work->x_size) {
work->x = 0;
++(work->y);
}
pthread_mutex_unlock(&(work->mutex));
/* z.r = work->r_0 + (double)x * work->r_dx + (double)y * work->r_dy;
z.i = work->i_0 + (double)x * work->i_dx + (double)y * work->i_dy;
TODO: implement the fractal iteration,
and count the iterations (say, n)
save the escape time (number of iterations)
in the work->iterations array; e.g.
work->iterations[(size_t)x + work->stride*(size_t)y] = n;
*/
}
}
The program first creates the fractal_work data structure for the worker threads to work on, initializes it, then creates some number of threads giving each thread the address of that fractal_work structure. It can then call fractal_worker() itself too, to "join the thread pool". (This pool automatically "drains", i.e. threads will return/exit, when all points in the fractal are done.)
Finally, the main thread calls sem_wait() on the done semaphore, as many times as it created worker threads, to ensure all the work is done.
The exact fields in the fractal_work structure above do not matter. However, it is at the very core of the thread pool. Typically, there is at least one mutex or rwlock protecting the work details, so that each worker thread gets unique work details, as well as some kind of flag or condition variable or semaphore to let the original thread know that the task is now complete.
In a multithreaded server, there is usually only one instance of the structure (or variables) describing the work queue. It may even contain things like minimum and maximum number of threads, allowing the worker threads to control their own number to dynamically respond to the amount of work available. This sounds magical, but is actually simple to implement: when a thread has completed its work, or is woken up in the pool with no work, and is holding the mutex, it first examines how many queued jobs there are, and what the current number of worker threads is. If there are more than the minimum number of threads, and no work to do, the thread reduces the number of threads, and exits. If there are less than the maximum number of threads, and there is a lot of work to do, the thread first creates a new thread, then grabs the next task to work on. (Yes, any thread can create new threads into the process. They are all on equal footing, too.)
A lot of the code in a practical multithreaded application using one or more thread pools to do work, is some sort of bookkeeping. Thread pool approaches very much concentrates on the data, and the computation needed to be performed on the data. I'm sure there are much better examples of thread pools out there somewhere; the hard part is to think of a good task for the application to perform, as the data structures are so task-dependent, and many computations are so simple that parallelizing them makes no sense (since creating new threads does have a small computational cost, it'd be silly to waste time creating threads when a single thread does the same work in the same or less time).
Many tasks that benefit from parallelization, on the other hand, require information to be shared between workers, and that requires a lot of thinking to implement correctly. (For example, although solutions exist for parallelizing molecular dynamics simulations efficiently, most simulators still calculate and exchange data in separate steps, rather than at the same time. It's just that hard to do right, you see.)
All this means that you cannot expect to be able to write the code, unless you understand the concept. Indeed, truly understanding the concepts are the hard part: writing the code is comparatively easy.
Even in the above example, there are certain tripping points: Does the order of posting the semaphore and releasing the mutex matter? (Well, it depends on what the thread that is waiting for the fractal to complete does -- and indeed, if it is waiting yet.) If it was a condition variable instead of a semaphore, it would be essential that the thread that is interested in the fractal completion is waiting on the condition variable, otherwise it would miss the signal/broadcast. (This is also why I used a semaphore.)
This question requires that two semaphores be used, one as a mutex, and one as a counting semaphore, and that the pair be used to simulate the interaction between students and a teacher's assistant.
I have been able to utilize the binary semaphore easily enough, however I cannot seem to find many examples that show the use of a counting semaphore, so I am quite sure I have it wrong, which is causing my code to not execute properly.
My code is below
#include <stdio.h>
#include <pthread.h>
#include <unistd.h>
#include <stdlib.h>
#include <semaphore.h>
#include <time.h>
#include <sys/types.h>
void *taThread();
void *student();
sem_t taMutex;
sem_t semaphore;
int main()
{
pthread_t tid1;
srand(time(NULL));
sem_init(&taMutex,0,1);
sem_init(&semaphore,1,3);
pthread_create(&tid1, NULL, &taThread, NULL);
pthread_join(tid1, NULL);
return 0;
}
void *taThread()
{
pthread_t tid2[10];
int it = 0;
printf("Teacher's Assistant taking a nap.\n");
for (it = 0; it < 10; it ++)
{
pthread_create(&tid2[it], NULL, &student, NULL);
}
for (it = 0; it < 10; it ++)
{
pthread_join(tid2[it], NULL);
}
}
void *student()
{
int xTime;
xTime = rand() % 10 + 1;
if (sem_wait(&taMutex) == 0)
{
printf("Student has awakened TA and is getting help. This will take %d minutes.\n", xTime);
sleep(xTime);
sem_post(&taMutex);
}
else if (sem_wait(&semaphore) > 2 )
{
printf("Student will return at another time.\n");
}
else
{
sem_wait(&semaphore);
printf("Student is working on their assignment until TA becomes available.\n");
sem_wait(&taMutex);
sem_post(&semaphore);
printf("Student is entering the TA's office. This will take %d minutes", xTime);
sleep(xTime);
sem_post(&taMutex);
}
}
My main question is: how can I get the threads to poll the counting semaphore concurrently?
I am trying to get a backup, with some students being forced to leave (or exit the thread) unhelped, with others waiting in the semaphore. Any assistance is appreciated, and any clarifications will be offered.
I'm not sure if your class / teacher wants to make special distinctions here, but fundamentally, a binary semaphore is mostly equivalent to a copunting semaphore initialized to 1,1 so that when you count it down ("P") to zero it becomes "busy" (locked like a mutex) and when you release it ("V") it counts up to its maximum of 1 and it's now "un-busy" (unlocked). A counting semaphore typically starts with a higher initial value, typically for counting some resource (like 3 available chairs in a room), so that when you count it down there may still be some left. When you're done using the counted resource (e.g., when the "student" leaves the "TA's office") you count it back up ("V").
With POSIX semaphores, the call:
sem_init(&semaphore,1,3);
says that this is a process-shared semaphore (2nd argument nonzero), rather than a thread-shared semaphore; you don't seem to need that, and I'm not sure if some systems might give you an error—a failing sem_init call, that is—if &semaphore is not in a process-shared region. You should be able to just use 0, 3. Otherwise, this is fine: it's saying, in effect, that there are three "unoccupied chairs" in the "office".
Other than that, you'll need to either use sem_trywait (as #pilcrow suggested), sem_timedwait, or a signal to interrupt the sem_wait call (e.g., SIGALRM), in order to have some student who tries to get a "seat" in the "office" to discover that he can't get one within some time-period. Just calling sem_wait means "wait until there's an unoccupied chair, even if that takes arbitrarily long". Only two things stop this potentially-infinite wait: either a chair becomes available, or a signal interrupts the call.
(The return value from the various sem_* functions tells you whether you "got" the "chair" you were waiting for. sem_wait waits "forever", sem_trywait waits not-at-all, and sem_timedwait waits until you "get the chair" or the clock runs out, whichever occurs first.)
1The real difference between a true binary semaphore and a counting semaphore is that a binary semaphore doesn't offer you the ability to count. It's either acquired (and an acquire will block), or not-acquired (and an acquire will succeed and block other acquires). Various implementations may consider releasing an already-released binary semaphore a no-op or an error (e.g., runtime panic). POSIX just doesn't offer binary semaphores at all: sem_init initializes a counting semaphore and it's your responsibility to set it to 1, and not over-increment it by releasing when it's already released. See also comments below.