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Moab HPC Suite

Intelligent HPC Workload Management

Put your Atipa Technologies HPC cluster to work with Moab HPC Suite, an intelligent high performance computing workload management solution that automates the scheduling, managing, monitoring, and reporting of HPC workloads on massive scale. When put into action managing your Atipa cluster or HPC system, Moab HPC Suite accelerates productivity, automates workload uptime, and consistently meets SLAs and business priorities for HPC systems using the tried and true Moab intelligence engine to automatically balance complex, mission-critical workload priorities. Moab HPC Suite optimizes the value and usability of HPC systems while reducing management cost and complexity.

Accelerate Productivity

Auto SLA Enforcement

  • Massive scalability for high throughput

  • Workload-optimized resource allocation

  • Optimized, intelligent scheduling

  • Optimized accelerator scheduling and management

  • Workload-optimized node provisioning (Enterprise Edition only)

  • Visualization workload optimization (Remote Visualization Edition only)

  • Simplifited job submission and management

  • Unify workload management across heterogeneous clusters (Limited Functionality in Basic Edition)

  •  Admin dashboards and management reporting

  • Workload-aware auto-power management (Enterprise Edition only)

  • Resource sharing and usage policies

  • SLA and priority policies

  • Continuous and future reservations scheduling

  • Usage accounting and budget enforcement (Enterprise Edition only)

Uptime Automation

  • Intelligent resource placement to prevent job failures

  • Auto-response to failures and events (Limited Functionality in Basic Edition)

  • Workload-aware maintenance scheduling

Grid & Cloud Ready Management

  • Pay-for-use showback and chargeback (Enterprise Edition only)

  • Workload-optimized node provisioning (Enterprise Edition only)

  • Manage workload across multiple clusters (Enterprise Edition only)

Resource Efficiency on Heterogeneous Clusters

As clusters are scaled up to meet the needs of multiple groups, inevitably the application requirements of those groups require different resource configurations to optimize their application performance. Moab’s advanced resource management enables it to effectively control and optimize resources in complex or heterogeneous HPC environments.

It includes capabilities that allow Moab to aggregate local resources, incorporate information from remote tools or custom fields into scheduling decisions, apply unique policies to groupings of nodes, and add fine-tuned controls over workload placement on resources.

These capabilities will enhance scheduling decisions in complex environments, boost application performance through better resource matching, and improve overall system utilization. To accomplish this, Moab utilizes node sets, NUMA, multi-resource manager support, and node allocation policies. Other features include Docker Support, Malleable Jobs, Remap Classes, Generic Metrics, and Generic Events.

  • Enhance scheduling decisions in complex environments

  • Boost application performance through better resource matching

  • Improve overall system utilization

Usage Alignment to SLA’s and Business Objectives

As multiple groups begin to utilize a cluster, their competing needs and usage behaviors will inevitably cause conflict. Therefore, service guarantees are important to help ensure the system is utilized in a way that completes the “most important” work for achieving the organization’s top objectives.

With Moab’s group sharing policies, organizations get the controls they need to efficiently share a cluster between multiple groups and the ability to align resource usage to business objectives, while still maintaining high utilization. Example capabilities include Account and QoS credential rights, Hierarchical Fairshare, Advanced Prioritization, Preemption, and Administrative Reservations. Other features include Job Deadlines and Personal Reservations.

  • Get the controls necessary to efficiently share a cluster between multiple groups

  • Align resource usage to business objectives, while still maintaining high utilization

Support and Value-Added Modules

Adaptive Computing offers commercial support as well as other value added features that can be purchased to extend this basic foundation. These capabilities facilitate such things as portal-based job submission, accounting, workflow management, grid management, elastic computing, power management, high throughput submission, and remote visualization. Add these powerful modules according to specific needs.

  • Viewpoint – Simplify the workload submission process for end-users with an easy-to-use job submission portal, which includes features like application templates, script builders, job details, and web-based file management.

  • Accounting – Flexibly track and charge for resource or service usage. Perform deposits, withdrawals, transfers, and refunds while providing balance and usage feedback to users, managers, and system administrators.

  • Workflow Management – Perform health checks, handle failures, develop workflows, and provision/re-purpose nodes through a trigger-based workflow engine, enabling end-to-end automated processes.

  • Grid Management – Enable unified scheduling, intelligent policy management, integrated resource management, data staging, and consolidated monitoring and management across multiple clusters.

  • Elastic Computing – Manage resource expansion and contraction of bursty workloads utilizing additional resources from private clouds or other data centers.

  • Power Management – Automate individual, per-application CPU clock frequencies and lower the power state of idle nodes using the Green Pool Buffer Policy, minimizing energy costs while preserving performance.

  • Nitro – Accelerate launch times for large volumes of small jobs. This HTC scheduler packages these many tasks into group requests and launches them up to hundreds of times faster than traditional schedulers.

  • Remote Visualization – Avoid purchasing high-end desktops for all workers, instead sharing expensive licenses or GPU’s, by rendering applications remotely and visualizing locally through an integrated portal.

Managing the World’s Top Systems, Ready to Manage Yours

Moab manages the largest, most scale-intensive and complex high performance computing environments in the world.  This includes many of the Top500, leading commercial, and innovative research HPC systems. Adaptive Computing is the largest supplier of HPC workload management software. Adaptive’s Moab HPC Suite and TORQUE rank #1 and #2 as the most used scheduling/workload management software at HPC sites and Adaptive is the #1 vendor used across unique HPC sites.