By John H. Reppy
Concurrent Programming ML (CML), incorporated as a part of the SML of recent Jersey (SML/NJ) distribution, combines the easiest positive factors of concurrent programming and useful programming. This sensible, "how-to" booklet makes a speciality of using concurrency to enforce clearly concurrent purposes. as well as an instructional creation to programming in CML, the booklet offers 3 prolonged examples utilizing CML for sensible platforms programming: a parallel software program construct procedure, an easy concurrent window supervisor, and an implementation of allotted tuple areas. This booklet additionally illustrates complicated SML programming suggestions, and incorporates a bankruptcy at the implementation of concurrency utilizing positive factors supplied by way of the SML/NJ approach. it will likely be of curiosity to programmers, scholars, researchers operating in computing device language improvement.
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Additional info for Concurrent Programming in ML
This use of a function as an argument is a standard technique to delay a computation in a call-by-value language. The newly created thread is called the child, and its creator is the parent. The return value of spawn is a thread ID that uniquely identifies the child thread. 2 The child thread will run until the evaluation of the function application is complete, at which time it terminates. CML does not attach any semantics to the parent-child relationship. For example, the termination of the parent thread does not affect the child — once created, the child thread is an independent agent.
As we saw above, when the operations on a shared value consist of a sequence of statements, concurrent execution of the operations by two or more threads can result in indeterminate results. To avoid this, the operations must be executed atomically. For example, if the assignment statements in the above example are atomic, then the answer will always be 3. Mutual exclusion synchronization is used to ensure that processes execute the critical regions atomically. The other situation arises when the state of the shared object determines which operations are enabled.
2 Mutex locks and condition variables The term mutex lock is essentially another name for a binary semaphore (it is a contraction of “mutual exclusion”). A mutex lock has two states: locked or unlocked. One of the advantages of mutex locks is that they are supported naturally by the test-and-set instruction found on many multiprocessors. Mutex locks are meant to be used to control access to shared data. The idea is that each piece of shared data has an associated lock, which a process must acquire before it can access the data.
Concurrent Programming in ML by John H. Reppy