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In multitasking operating systems, processes (running programs) need a way to create new processes, e.g. to run other programs. Fork and its variants are typically the only way of doing so in Unix-like systems. For a process to start the execution of a different program, it first forks to create a copy of itself.
David A. Wheeler notes [9] four possible outcomes of a fork, with examples: The death of the fork. This is by far the most common case. It is easy to declare a fork, but considerable effort to continue independent development and support. A re-merging of the fork (e.g., egcs becoming "blessed" as the new version of GNU Compiler Collection.)
webOS, also known as LG webOS and previously known as Open webOS, HP webOS and Palm webOS, [2] is a Linux kernel-based multitasking operating system for smart devices, such as smart TVs, that has also been used as a mobile operating system.
MS-DOS 4.0 [a] was a multitasking release of MS-DOS developed by Microsoft based on MS-DOS 2.0. Lack of interest from OEMs, particularly IBM (who previously gave Microsoft multitasking code on IBM PC DOS included with TopView), led to it being released only in a scaled-back form.
Multitasking of Microsoft Windows 1.01 released in 1985, here shown running the MS-DOS Executive and Calculator programs. In computing, multitasking is the concurrent execution of multiple tasks (also known as processes) over a certain period of time. New tasks can interrupt already started ones before they finish, instead of waiting for them ...
Multitasking is mentally and physically stressful for everyone, [3] to the point that multitasking is used in laboratory experiments to study stressful environments. [4] Research suggests that people who are multitasking in a learning environment are worse at learning new information compared to those who do not have their attention divided ...
DOSBox is a free and open-source emulator which runs software for MS-DOS compatible disk operating systems—primarily video games. [5] It was first released in 2002, when DOS technology was becoming obsolete.
Evolutionary multi-tasking has been explored as a means of exploiting the implicit parallelism of population-based search algorithms to simultaneously progress multiple distinct optimization tasks. By mapping all tasks to a unified search space, the evolving population of candidate solutions can harness the hidden relationships between them ...