Hi, I am designing a multithreaded application that uses interprocess_condition variables as part of my synchronization process. I have some questions about the internal workings of interprocess_condition and would be grateful if someone provides their feedback on my general design. My application is designed such that there are several threads (say A, B, C & D) that all access different chunks of data asynchronously based on individual conditions (say cA, cB, cC, cD). However, each chunk needs to be accessed in sequence. So, for a single chunk of data, an example would be as following: 1. A waits on condition cA, executes its code, then issues notification for condition cB. 2. B waits on condition cB, executes its code, then issues notification for condition cC. 2. C waits on condition cC, executes its code, then issues notification for condition cD. 2. D waits on condition cD, executes its code, then issues notification for condition cA.

From the examples on the web-site, it looks like, one can use scoped_lock and interprocess_condition in the following manner: void thread_func(...) { // example code for thread B scoped_lock < boost::interprocess::interprocess_mutex > lock( my_mutex ); cB.wait( lock );

// work code // notify next thread cC.notify_all( ); } In this case, thread B will get into the my_mutex queue and wait for thread A to notify when and the condition cB is fulfilled and then take ownership of the mutex. Question 1: If thread B locks my_mutex after thread A has already issued the cB notification, will B be able to recognize this and take ownership of the mutex? My design is such that no other thread is actually waiting for cB. If B does not recognize the condition, it will result in a stall of the whole pipeline (since it won't issue notification on cC). Is this a correct assessment? Question 2: I give below an example of the code I'm using. I'd like to know if this will generate the behavior I'm looking for. The design is based on the fact that different threads perform different operations on the data and they do these operations in a particular order (eg. A, then B, then C, then D). I divide the data up into chunks so that every thread is working on some part of the data instead of being held up. I use the try_to_lock stuff so that if a thread doesn't get an immediate lock, it just moves on to the next chunk of data and sees if it can work on that. Is this an efficient way to make use of my resources. // example function void thread_func( ... ) { scoped_lock < boost::interprocess::interprocess_mutex > my_lock( my_mutex, try_to_lock ); if( my_lock ){ cB. wait( my_lock ); // do some work cC.notify_all( ); } } Thanks in advance. I truly appreciate the help. Kish