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What is Slurm?

Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), serves as an open-source and free job scheduling and cluster management solution designed for Linux and Unix-like systems. Its main purpose is to manage computational tasks within high-performance computing (HPC) clusters and high-throughput computing (HTC) environments, which has led to its widespread adoption by countless supercomputers and computing clusters around the world. As advancements in technology progress, Slurm continues to be an essential resource for both researchers and organizations in need of effective resource allocation. Moreover, its adaptability and ongoing updates ensure that it meets the changing demands of the computing landscape.

What is HPCWorks Grid Engine?

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.

Media

Media

Integrations Supported

AWS Parallel Computing Service
AWS ParallelCluster
Azure Marketplace
ClusterVisor
FPT AI Factory
HPCWorks Monitor
IBM Cloud
Skyportal
Thunder Compute
TrinityX

Integrations Supported

AWS Parallel Computing Service
AWS ParallelCluster
Azure Marketplace
ClusterVisor
FPT AI Factory
HPCWorks Monitor
IBM Cloud
Skyportal
Thunder Compute
TrinityX

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

slurm.schedmd.com

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

www.siemens.com/en-us/products/hpcworks/grid-engine/

Categories and Features

Workload Automation

Alerts / Notifications
Audit Trails
Business Process Management
Cross-Platform Scheduling
Dashboard
Data Analysis / Visualization
Event-Triggers
Load Balancing
Resource-Based Scheduling
Robotic Process Automation (RPA)
Workflow Foundation Support

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