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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.
This allows the dynamic scheduler to handle several iterations in parallel. Running under an SMP OS, the processes will occupy all available real machine processors and processor cores. In order to allow several processes accessing the same data concurrently, the BMDFM dynamic scheduler locks objects in the shared memory pool via SVR4/POSIX ...
Windows, Linux, Mac OS X, Solaris Cost Apache Mesos: Apache actively developed Apache license v2.0 Linux Free Yes Moab Cluster Suite: Adaptive Computing Job Scheduler actively developed HPC Proprietary: Linux, Mac OS X, Windows, AIX, OSF/Tru-64, Solaris, HP-UX, IRIX, FreeBSD & other UNIX platforms Cost Yes NetworkComputer: Runtime Design Automation
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. Q: Uniform-machines scheduling. There are parallel
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
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.
In a multiprocessing environment with more than one logical processor (i.e. multiple cores or hyperthreading), more than one task can be running at the same time. However, a process or a thread can be set to run on only a subset of the available logical processors. The Windows Task Manager utility offers a user interface for this at the process ...