We are pleased to announce that we will continue the development of the Univa Open Core Grid Engine, which in turn is based on the open source Sun Grid Engine originally published by Sun Microsystems. Renamed "Open Cluster Scheduler", this project will remain open source under the SISSL v2 licence, with the source code available here. The new features will be released under the Apache Licence v2.0.
In addition to maintaining the open source version, we will introduce advanced features under the name "Gridware Cluster Scheduler". This iteration will be offered with commercial support and consulting services from HPC-Gridware GmbH. Pre-built binaries for both the free Open Cluster Scheduler and the fully supported Gridware Cluster Scheduler can be downloaded here.
For a quick single-node test or development setup on a fresh VM / container consider to run:
curl -s https://raw.githubusercontent.com/hpc-gridware/quickinstall/refs/heads/main/ocs.sh | OCS_VERSION=9.1.5 sh Our main code repository for the Open Cluster Scheduler and the corresponding test environment are hosted on GitHub and can be accessed here:
Additional repositories are:
- Gridware slurm-shim for running SLURM commands on OCS/GCS
- Go API wrapper
- Java DRMAA
- Quick install for testing in VMs and containers
After careful consideration, we have selected the Univa code base as our foundation. Despite the availability of alternatives like Open Grid Scheduler and Some/Son of Grid Engine, the Univa version aligns best with our goal of making significant codebase improvements. Our inaugural release — version 9.0.0 — will mark a modernization effort, aligned with the ongoing growth in HPC and AI workloads which demand faster, more flexible computing clusters.
Technological advancements in CPU and GPU design necessitate advanced decision-making algorithms for schedulers. We aim to tackle these challenges, ensuring the Cluster Scheduler codebase can effectively support modern multi-core CPUs, GPUs, NPUs, and FPGAs.
We would be delighted if you would join us in this exciting project! Please let us know if you have any questions or suggestions, or if you are interested in participating in this project. Click here for the latest discussions.
If you're ready to explore the Gridware Cluster Scheduler, which comes with enhanced features and rigorously tested releases across a broad spectrum of platforms, then get in touch! We also offer comprehensive long-term support and tailored upgrade strategies. We look forward to hearing from you!
- Build Instructions
- Installation Guide
- Awesome Cluster Scheduler - A curated list of links to integrated software packages.
- Gridware Cluster Scheduler 9.1.6: Smarter GPU Selection, Enterprise Login for Qontrol, and a Quickstart for Agents
- Open Cluster Scheduler and Gridware Cluster Scheduler 9.1.5: Device Isolation for Accelerators, Multi-Cluster Qontrol, and Scalable Per-Job Telemetry
- Open Cluster Scheduler and Gridware Cluster Scheduler 9.1.3: PostgreSQL Spooling, a Smoother Qontrol, and Sharper Reliability
- Bringing Posit Workbench to Gridware Cluster Scheduler
- Gridware Cluster Scheduler 9.1.1 Released
- HPC Gridware Releases Gridware Cluster Scheduler 9.1.0 and Open Cluster Scheduler 9.1.0
- Don’t Panic! Running Containers in Gridware and Open Cluster Scheduler
- Professional Workload Management for NVIDIA DGX SPARK: Desktop and Edge to Datacenter Scalability
- Gridware Cluster Scheduler 9.0.9: Smarter License Management and Enhanced Debugging
- Introducing Qontrol: Modern Web UI for Gridware Cluster Scheduler
- Maximize Your Software License Investment with Gridware Cluster Scheduler
- Understanding Multi-Node Jobs in Gridware Cluster Scheduler and Open Cluster Scheduler
- Leveraging Systemd Integration with Gridware Cluster Scheduler
- Understanding Job Priority Configuration in Gridware Cluster Scheduler
- Unleashing the Full Power of NVIDIA GPUs with Gridware Cluster Scheduler: Transforming HPC and AI Workflows
- Announcing Gridware Cluster Scheduler 9.0.0 Release
- Announcing Open Cluster Scheduler 9.0.0 Release
- Running Nextflow Pipelines on Gridware Cluster Scheduler: An RNA Sequencing Example using Apptainer
- Efficiently Managing GPUs with Open Cluster Scheduler’s RSMAP Resource Type
- Open Cluster Scheduler: The Future of Open Source Workload Management
- Preparations for the first version of Cluster Scheduler
- One product, three people and a handful of companies
The original files contributed by Sun Microsystems are licensed under
Newer contributions from HPC-Gridware GmbH (and others like Univa Inc. or individual contributors) are licensed under
Distribution packages might contain support for 3rd-party tools and libraries. License Information for corresponding components is available under
There is NO WARRANTY, to the extent permitted by law.