Slurm is an open source, fault-tolerant, and highly scalable cluster management and job scheduling system for large and small Linux clusters. Slurm requires no kernel modifications for its operation and is relatively self-contained. As a cluster workload manager, Slurm has three key functions. First, it allocates exclusive and/or non-exclusive access to resources (compute nodes) to users for some duration of time so they can perform work. Second, it provides a framework for starting, executing, and monitoring work (normally a parallel job) on the set of allocated nodes. Finally, it arbitrates contention for resources by managing a queue of pending work.
Keywords for this software
References in zbMATH (referenced in 8 articles )
Showing results 1 to 8 of 8.
- Victoria B. Stephens, David O. Lignell: One-dimensional turbulence (ODT): Computationally efficient modeling and simulation of turbulent flows (2021) not zbMATH
- Max Langer, Yuhe Zhang, Diogo Figueirinhas, Jean-Baptiste Forien, Claire Mouton, Rajmund Mokso, Pablo Villanueva-Perez: PyPhase - a Python package for X-ray phase imaging (2020) arXiv
- Mortensen, J., Gjerding, M., Thygesen, K.: MyQueue: Task and work ow scheduling system (2020) not zbMATH
- George G Vega Yon; Paul Marjoram: sluRm: A lightweight wrapper for HPC with Slurm (2019) not zbMATH
- Savin, G. I.; Shabanov, B. M.; Telegin, P. N.; Baranov, A. V.: Joint supercomputer center of the Russian Academy of Sciences: present and future (2019)
- Tim Besard, Valentin Churavy, Alan Edelman, Bjorn De Sutter: Rapid software prototyping for heterogeneous and distributed platforms (2019) not zbMATH
- Yuzhi Zhang, Haidi Wang, Weijie Chen, Jinzhe Zeng, Linfeng Zhang, Han Wang, Weinan E: DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models (2019) arXiv
- Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH