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Note that the problem of parallel-machines scheduling is a special case of parallel-task scheduling where = for all j, that is, each job should run on a single machine. The origins of this problem formulation can be traced back to 1960. [6]
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
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.
After a task graph is generated, the task scheduler manages the workflow based on the given task graph by assigning tasks to workers in a manner that improves parallelism and respects the data dependencies. Dask provides two families of schedulers: single-machine scheduler and distributed scheduler.
Unrelated-machines scheduling is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling . We need to schedule n jobs J 1 , J 2 , ..., J n on m different machines, such that a certain objective function is optimized (usually, the makespan should be minimized).
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.
Scheduling for generic resources (e.g. Graphics processing unit) Real-time accounting down to the task level (identify specific tasks with high CPU or memory usage) Resource limits by user or bank account; Accounting for power consumption by job; Support of IBM Parallel Environment (PE/POE) Support for job arrays
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.