What is Slurm?
Slurm (Simple Linux Utility for Resource Management) is an open source job management system that was developed for the management and planning of jobs on high-performance computers (HPC). It enables efficient utilisation of resources and seamless integration into existing IT infrastructures. Slurm is known for its flexibility and scalability and is used worldwide in data centres and supercomputers.
Areas of application for Slurm
NVIDIA AI for Enterprise
Slurm is used in solutions such as the NVIDIA DGX series for artificial intelligence and machine learning.
Scientific research
Universities and research institutions use Slurm to carry out complex simulations and data analyses.
Industry and trade
Companies from a wide range of industries use Slurm to process large volumes of data and perform complex calculations.
Your HPC solution with sysGen and Slurm
Our HPC solutions with Slurm offer you numerous advantages:
- Scalability: Slurm can easily scale to thousands of nodes to meet the demands of growing workloads.
- Flexibility: Customise configurations and workflows to meet your specific requirements.
- Efficiency: Optimise resource utilisation for maximum performance and cost efficiency.
- Reliability: We provide comprehensive support and advice to ensure your HPC infrastructure is always running optimally.
Tasks of Slurm
Job scheduling
Slurm offers advanced algorithms for planning and managing jobs in order to distribute them efficiently across the available resources.
Resource management
Management and allocation of resources such as CPUs, RAM and GPUs to the various jobs.
Partitioning
Subdivision of the cluster into different partitions to support different user groups and workloads.
Job prioritisation
Mechanisms for prioritising jobs based on criteria such as user, job size, waiting time and other factors.
Backfill scheduling
Optimisation of resource utilisation by inserting smaller jobs into available time slots without delaying the execution of larger jobs.
Fault tolerance
Support for fault-tolerant execution and recovery of jobs in the event of hardware or software errors.
Billing
Detailed logging and reporting of resource utilisation and job execution for billing and analysis.
Scalability
Support for managing large clusters with thousands of nodes and jobs.
User interface
A user-friendly command line interface and scripting capability for managing jobs and resources.
Integration
Compatibility with other tools and technologies such as MPI, OpenMP and various file systems for seamless integration into existing environments.