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Parallel task scheduling (also called parallel job scheduling [1] [2] or parallel processing scheduling [3]) is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling .
Fork–join is the main model of parallel execution in the OpenMP framework, although OpenMP implementations may or may not support nesting of parallel sections. [6] It is also supported by the Java concurrency framework, [ 7 ] the Task Parallel Library for .NET, [ 8 ] and Intel's Threading Building Blocks (TBB). [ 1 ]
In single-stage job scheduling problems, there are four main categories of machine environments: 1: Single-machine scheduling. There is a single machine. P: Identical-machines scheduling. There are parallel machines, and they are identical. Job takes time on any machine it is scheduled to.
The randomized variant due to Blumofe and Leiserson executes a parallel computation in expected time / + on processors; here, is the work, or the amount of time required to run the computation on a serial computer, and is the span, the amount of time required on an infinitely parallel machine. [note 2] This means that, in expectation, the time ...
Initially, The Pirate Bay's four Linux servers ran a custom web server called Hypercube. An old version is open-source. [55] On 1 June 2005, The Pirate Bay updated its website in an effort to reduce bandwidth usage, which was reported to be at 2 HTTP requests per millisecond on each of the four web servers, [56] as well as to create a more user friendly interface for the front-end of the website.
The basic form of the problem of scheduling jobs with multiple (M) operations, over M machines, such that all of the first operations must be done on the first machine, all of the second operations on the second, etc., and a single job cannot be performed in parallel, is known as the flow-shop scheduling problem.
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In parallel computing, granularity (or grain size) of a task is a measure of the amount of work (or computation) which is performed by that task. [1] Another definition of granularity takes into account the communication overhead between multiple processors or processing elements. It defines granularity as the ratio of computation time to ...