SchedMD/slurm

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

4282 stars · 881 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Slurm is an open-source, highly scalable cluster resource management and job scheduling system for Linux clusters. It allocates compute nodes to users, launches and monitors parallel jobs, and arbitrates resource contention through a queue of pending work.

Use cases

• schedule batch and parallel jobs on an HPC cluster
• manage a queue of pending jobs across shared compute nodes
• allocate exclusive or shared access to cluster resources for a time window
• run MPI workloads across many nodes
• implement fairshare and priority-based job scheduling
• expose a REST API for submitting and monitoring cluster jobs
• track cluster usage with accounting and reporting

When to choose

• you operate a Linux cluster (HPC, research, GPU farm) needing centralized job scheduling
• you need scalable, fault-tolerant resource arbitration across hundreds or thousands of nodes
• you want fairshare, backfill, job arrays, and heterogeneous job support out of the box
• you need accounting, prioritization, and multi-cluster federation

When to avoid

• you only need to orchestrate containers on a small set of machines - Kubernetes may fit better
• you need a lightweight single-machine task runner like cron or GNU parallel
• your infrastructure is not Linux - Slurm is only tested on Linux
• you want a managed cloud-native scheduler without cluster administration overhead

Facets

application · maturity stable

scheduling workflow-automation monitoring cli api-framework auth microservices infrastructure-as-code self-hosted cpp cli self-hosted job-scheduler workload-manager hpc cluster-computing batch-scheduling resource-management mpi rest-api fairshare devops high-performance-computing linux

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