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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 .
HTCondor is an open-source high-throughput computing software framework for coarse-grained distributed parallelization of computationally intensive tasks. [1] It can be used to manage workload on a dedicated cluster of computers, or to farm out work to idle desktop computers – so-called cycle scavenging.
The Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), or simply Slurm, is a free and open-source job scheduler for Linux and Unix-like kernels, used by many of the world's supercomputers and computer clusters.
Free Popular Power: ProActive: INRIA, ActiveEon, Open Source All in one actively developed Master/Worker, SPMD, Distributed Component Model, Skeletons HTC/HPC GPL: Unix-like, Windows, Mac OS X: Free RPyC: Tomer Filiba actively developed MIT License *nix/Windows Free SLURM: SchedMD: Job Scheduler actively developed
The idea of work stealing goes back to the implementation of the Multilisp programming language and work on parallel functional programming languages in the 1980s. [2] It is employed in the scheduler for the Cilk programming language, [3] the Java fork/join framework, [4] the .NET Task Parallel Library, [5] and the Rust Tokio runtime. [6] [7]
Portable Batch System (or simply PBS) is the name of computer software that performs job scheduling. Its primary task is to allocate computational tasks, i.e., batch jobs, among the available computing resources. It is often used in conjunction with UNIX cluster environments.
Task Scheduler (formerly Scheduled Tasks) [1] is a job scheduler in Microsoft Windows that launches computer programs or scripts at pre-defined times or after specified time intervals. [ 2 ] [ 3 ] Microsoft introduced this component in the Microsoft Plus! for Windows 95 as System Agent. [ 4 ]
Uniform machine scheduling (also called uniformly-related machine scheduling or related machine scheduling) is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling. We are given n jobs J 1, J 2, ..., J n of varying processing times, which need to be scheduled on m different machines.