High-Performance Computing Workload Management System

A High-Performance Computing Workload Management System is a workload management system that can support hpc workload management tasks in supercomputing environments.

• AKA: HPC Workload Manager, HPC Job Scheduler, Supercomputing Resource Manager, HPC Batch System, Scientific Computing Scheduler.
• Context:
  • It can typically manage HPC Job Queues through hpc scheduling algorithms and hpc priority schemes.
  • It can typically allocate HPC Compute Resources via policies and strategies.
  • It can typically support HPC Job Arrays for studies and hpc embarrassingly parallel workloads.
  • It can typically implement HPC Backfill Scheduling to optimize resource utilization.
  • It can typically handle HPC Checkpoint-Restart through hpc fault tolerance mechanisms and hpc job recovery protocols.
  • It can typically enforce Policies via hpc accounting systems and hpc quality of service levels.
  • It can often enable HPC Topology-Aware Scheduling for hpc network locality optimization and hpc communication minimization.
  • It can often support HPC Reservation Systems for hpc dedicated resource allocation and hpc maintenance windows.
  • It can often integrate with HPC Module Systems for hpc software environment management and hpc dependency resolution.
  • It can range from being a Small-Cluster HPC Workload Manager to being a Exascale HPC Workload Manager, depending on its hpc system scale.
  • It can range from being a CPU-Only HPC Workload Manager to being a Heterogeneous HPC Workload Manager, depending on its hpc accelerator support.
  • It can range from being a Single-Site HPC Workload Manager to being a Grid-Enabled HPC Workload Manager, depending on its hpc geographic distribution.
  • It can range from being a Interactive HPC Workload Manager to being a Batch-Only HPC Workload Manager, depending on its hpc job submission mode.
  • ...
• Examples:
  • Open-Source HPC Workload Managers, such as:
    • Slurm HPC Workload Manager for linux cluster management.
    • Torque Resource Manager for pbs-compatible scheduling.
    • Grid Engine System for grid computing management.
  • Commercial HPC Workload Managers, such as:
    • PBS Professional by Altair Engineering.
    • IBM Spectrum LSF for enterprise hpc management.
    • Moab HPC Suite for advanced hpc optimization.
  • National Laboratory HPC Systems for scientific computing workloads.
  • University HPC Clusters for academic research computing.
  • ...
• Counter-Examples:
  • Container Orchestration System, which focuses on microservice deployment.
  • Big Data Resource Manager, which optimizes for data processing workloads.
  • Cloud Workload Manager, which handles elastic cloud resources.
  • Desktop Job Scheduler, which manages local task execution.
• See: Cluster Management System, Batch Job Scheduling System, Scientific Computing Platform, Parallel Computing System, Distributed Resource Control System, Supercomputing Infrastructure, Message Passing Interface, Workload Management System, Resource Allocation System.

---