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This article lists concurrent and parallel programming languages, categorizing them by a defining paradigm.Concurrent and parallel programming languages involve multiple timelines.
std::this_thread::yield() in the language C++, introduced in C++11. The Yield method is provided in various object-oriented programming languages with multithreading support, such as C# and Java. [2] OOP languages generally provide class abstractions for thread objects. yield in Kotlin
This type of multithreading is known as block, cooperative or coarse-grained multithreading. The goal of multithreading hardware support is to allow quick switching between a blocked thread and another thread ready to run. Switching from one thread to another means the hardware switches from using one register set to another.
Variables are localized so that each thread has its own private copy. These variables retain their values across subroutine and other code boundaries and are thread-safe since they are local to each thread, even though the code which accesses them might be executed simultaneously by another thread. Immutable objects
Method chaining is a common syntax for invoking multiple method calls in object-oriented programming languages. Each method returns an object, allowing the calls to be chained together in a single statement without requiring variables to store the intermediate results. [1]
Object-oriented programming – uses data structures consisting of data fields and methods together with their interactions (objects) to design programs Class-based – object-oriented programming in which inheritance is achieved by defining classes of objects, versus the objects themselves
[4] [5] In these cases the performance benefits of use may be secondary. Typically, a thread pool executes on a single computer. However, thread pools are conceptually related to server farms in which a master process, which might be a thread pool itself, distributes tasks to worker processes on different computers, in order to increase the ...
The listed languages are designed with varying degrees of OOP support. Some are highly focused in OOP while others support multiple paradigms including OOP. [1] For example, C++ is a multi-paradigm language including OOP; [2] however, it is less object-oriented than other languages such as Python [3] and Ruby. [4]