HPCWorks Monitor Integrations

HPCWorks Grid Engine is a Siemens workload management and distributed resource optimization solution for high-performance computing environments. It helps organizations improve throughput, application performance, and resource utilization across shared on-premises, cloud, and hybrid infrastructure. The platform is designed to support some of today’s largest AI and HPC workloads and has been proven in environments with more than one million cores. HPCWorks Grid Engine enables teams to maximize the use of specialized computing resources, including GPUs, while reducing bottlenecks and improving job turnaround times. Its workload management capabilities help lower hardware, software, and data center costs by scheduling jobs more efficiently and reducing idle resources. License-first scheduling helps reduce wait times and downtime by aligning software license availability with computing demand. Organizations can deploy HPC clusters in their preferred cloud environments and manage workloads across a wide range of operating systems and processor architectures. The software supports thousands of commercial and open-source applications across industries such as life sciences, manufacturing, energy, semiconductor, and research. Priority and utilization policies allow administrators to align cluster workloads with business goals, such as maximizing machine utilization or prioritizing critical departmental workloads. Quotas and limits help teams manage usage by user, group, or project while maintaining control over cluster workload volumes. With comprehensive monitoring and reporting, HPCWorks Grid Engine gives organizations the visibility they need to optimize resources, improve productivity, and deliver faster results.