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A function can also hold a promise object directly and do other processing first (including starting other asynchronous tasks), delaying awaiting the promise until its result is needed. Functions with promises also have promise aggregation methods that allow the program to await multiple promises at once or in some special pattern (such as C#'s ...
A timeout can also be specified on the wait using the wait_for() or wait_until() member functions to avoid indefinite blocking. If the future arose from a call to std::async then a blocking wait (without a timeout) may cause synchronous invocation of the function to compute the result on the waiting thread.
When one thread starts executing the critical section (serialized segment of the program) the other thread should wait until the first thread finishes. If proper synchronization techniques [ 1 ] are not applied, it may cause a race condition where the values of variables may be unpredictable and vary depending on the timings of context switches ...
The Arduino platform provides relative time via the millis() function. This function returns an unsigned 32-bit integer representing "milliseconds since startup", which will roll over every 49 days. By default, this is the only timing source available in the platform and programs need to take special care to handle rollovers. [98]
A sample thread pool (green boxes) with waiting tasks (blue) and completed tasks (yellow) In computer programming, a thread pool is a software design pattern for achieving concurrency of execution in a computer program.
How much time until congestion collapse depended on the arrival rate of new packets as well other unknown factors. In 1971, Larry Roberts asked Professor Leonard Kleinrock and his Ph.D. student, Simon Lam, at UCLA to join the Satellite System project of ARPANET. Simon Lam would work on the stability, performance evaluation, and adaptive control ...
This finish time depends on the communication time to send all necessary inputs to the worker, the computation time of the task on the worker, and the time when that processor becomes available (it may be busy with another task). HEFT uses an insertion-based policy that fills sufficiently sized gaps between already scheduled tasks.
Most locking designs block the execution of the thread requesting the lock until it is allowed to access the locked resource. With a spinlock, the thread simply waits ("spins") until the lock becomes available. This is efficient if threads are blocked for a short time, because it avoids the overhead of operating system process re-scheduling.