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A task is performed on a set of targets on a specific schedule. A unit of computation. In a parallel job, two or more concurrent tasks work together through message passing and shared memory. Although it is common to allocate one task per physical or logical processor, the terms "task" and "processor" are not interchangeable.
Microwork is a series of many small tasks which together comprise a large unified project, and it is completed by many people over the Internet. [1] [2] Microwork is considered the smallest unit of work in a virtual assembly line. [3]
A macrotask might be the creation of an analytical paper or a video, or the pursuit of a contest like the Netflix Prize, while a microtask could include the editing of a document for grammar or transcription of a video. A number of sites connect people with freelancers who can fulfill macrotasks, like Fiverr, Upwork (ex Elance and oDesk ...
Microtask Platform is a software platform for global distribution of short-duration tasks to online workers. The system supports automated quality assurance and provides service-level agreements for task quality and turnaround times. [5] The most notable use case for such tasks has been human-assisted optical character recognition. [6]
In Linux 2.4, [17] an O(n) scheduler with a multilevel feedback queue with priority levels ranging from 0 to 140 was used; 0–99 are reserved for real-time tasks and 100–140 are considered nice task levels. For real-time tasks, the time quantum for switching processes was approximately 200 ms, and for nice tasks approximately 10 ms.
"Thread pools and work queues" by Brian Goetz "A Method of Worker Thread Pooling" by Pradeep Kumar Sahu "Work Queue" by Uri Twig: C++ code demonstration of pooled threads executing a work queue. "Windows Thread Pooling and Execution Chaining" "Smart Thread Pool" by Ami Bar "Programming the Thread Pool in the .NET Framework" by David Carmona
Access to resources is also sometimes regulated by queuing; in the case of computing time on a CPU the controlling algorithm of the task queue is called a scheduler. Failure to properly resolve resource contention problems may result in a number of problems, including deadlock, livelock, and thrashing.
New tasks can interrupt already started ones before they finish, instead of waiting for them to end. As a result, a computer executes segments of multiple tasks in an interleaved manner, while the tasks share common processing resources such as central processing units (CPUs) and main memory. Multitasking automatically interrupts the running ...