As a programming paradigm, concurrent computing is a form of modular programming, namely advantages with programming languages an overall computation into subcomputations that may be executed concurrently. Please help improve it or discuss these issues on the talk page. This section needs additional citations for verification. This section possibly contains original research.
The concept of concurrent computing is frequently confused with the related but distinct concept of parallel computing, although both can be described as “multiple processes executing during the same period of time”. For example, concurrent processes can be executed on one core by interleaving the execution steps of each process via time-sharing slices: only one process runs at a time, and if it does not complete during its time slice, it is paused, another process begins or resumes, and then later the original process is resumed. Concurrent computations may be executed in parallel, for example, by assigning each process to a separate processor or processor core, or distributing a computation across a network. The exact timing of when tasks in a concurrent system are executed depend on the scheduling, and tasks need not always be executed concurrently. The main challenge in designing concurrent programs is concurrency control: ensuring the correct sequencing of the interactions or communications between different computational executions, and coordinating access to resources that are shared among executions. However, since both processes perform their withdrawals, the total amount withdrawn will end up being more than the original balance. Unfortunately, while many solutions exist to the problem of a conflict over one resource, many of those “solutions” have their own concurrency problems such as deadlock when more than one resource is involved.
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This section does not cite any sources. Concurrent programming allows the time that would be spent waiting to be used for another task. More appropriate program structure—some problems and problem domains are well-suited to representation as concurrent tasks or processes. There are several models of concurrent computing, which can be used to understand and analyze concurrent systems. You can help by adding to it. A number of different methods can be used to implement concurrent programs, such as implementing each computational execution as an operating system process, or implementing the computational processes as a set of threads within a single operating system process. Concurrent computing developed out of earlier work on railroads and telegraphy, from the 19th and early 20th century, and some terms date to this period, such as semaphores.