Moab HPC Suite
Moab® HPC Suite is a workload and resource orchestration platform that automates the scheduling, managing, monitoring, and reporting of HPC workloads on massive scale. Its patented intelligence engine uses multi-dimensional policies and advanced future modeling to optimize workload start and run times on diverse resources.
These policies balance high utilization and throughput goals with competing workload priorities and SLA requirements, thereby accomplishing more work in less time and in the right priority order. Moab HPC Suite optimizes the value and usability of HPC systems while reducing management cost and complexity.
Ease of Use Driven Productivity
Moab HPC Suite optimizes resource efficiency on heterogeneous clusters and aligns usage to SLA’s that match business objectives.
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 HPC Suite 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 HPC Suite 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
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 HPC Suite’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
MOAB HPC SUITE
Adaptive Computing offers the following value-added features that can be purchased to extend the foundations provided by Moab HPC. 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.
Intelligent HPC Workload Management Across Infrastructure and Organizational Complexity
Moab HPC Suite acts as the “brain” of a high performance computing (HPC) system to accelerate and automate complex decision making processes. The patented Moab intelligence engine provides multi-dimensional policies that mimic real-world decision making. These multi-dimensional, real-world policies are essential in scheduling workload to optimize job speed, job success and resource utilization. Moab HPC Suite integrates decision-making data from and automates actions through your system’s existing mix of resource managers. This enables all the dimensions of real-time granular resource attributes, resource state, as well as current and future resource commitments to be modeled against workload/application requirements. All of these dimensions are then factored into the most efficient scheduling decisions. Moab also dramatically simplifies the management tasks and processes across these complex, heterogeneous environments. Moab works with many of the major resource management and industry standard resource monitoring tools and covers mixed hardware, network, storage and licenses.
Moab HPC Suite multi-dimensional policies are also able to factor in organizational priorities and complexities when scheduling workload. Moab ensures workload is processed according to organizational priorities and commitments and that resources are shared fairly across users, groups and even multiple organizations. This enables organizations to automatically enforce service guarantees and effectively manage organizational complexities with simple policy-based settings.
Moab HPC Suite is architected to integrate on top of your existing resource managers and other types of management tools in your environment to provide policy-based scheduling and management of workloads. It makes the optimal complex decisions based on all of the data it integrates from the various resource managers and then orchestrates the job and management actions through those resource managers. Moab’s flexible management integration makes it the ideal choice to integrate with existing or new systems as well as to manage your high performance computing system as it grows and expands in the future.
Moab HPC Suite Components
Moab Viewpoint portal eases job submission and management for users from any location with minimal training required.
Provides for easy viewing of workload status, reporting on resource utilization and other system metrics, and the graphical management of some policies. This is provided by the Moab Cluster Manager desktop application, with reporting and dashboard management also available in the Moab Viewpoint portal admin views.
Automates the complex, optimized workload scheduling decisions and management actions with multi-dimensional policies that mimic real-world decision making. These policies balance maximizing job throughout and utilization with meeting SLAs and priorities.
Provides easy, standardized integration interfaces with resource managers, third party management tools, and existing third party portals.
Provides continually updated information on the state of nodes and workload. Using the advanced scalability, reliability and management features of Torque helps you to fully exploit Moab’s capabilities should you choose to use it as your resource manager. Moab can also integrate with, and leverage, other resource managers, such as SLURM.
Moab HPC Suite System Compatibility
Moab HPC Suite works with a variety of platforms to give customers flexibility, choice, and maximum leverage of existing investments. Many commonly used resource managers, operating systems, and architectures are supported by Moab Cloud HPC Suite including:
Linux (Debian, Fedora, RedHat, SUSE), and Unix (AIX)
In addition to resource managers such as Torque and SLURM it integrates with many other types of resource managers and monitors such as HP Cluster Management Utility, Nagios, Ganglia, FlexLM, and others.
AMD x86, AMD Opteron, HP, Intel x86, Intel IA-32, Intel IA-64, IBM i-Series, IBM p-Series, IBM x-Series. Moab is also optimized for SGI and Cray systems.
Moab supports PostgreSQL, Oracle and MySQL databases so customers can use the database that best meets their needs or is their system standard.
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The mathematical acceleration delivered by many-core General Purpose Graphics Processing Units (GPGPUs) offers significant performance advantages for many classes of numerically intensive applications. Parallel computing tools such as NVIDIA’s CUDA and the openCL framework have made harnessing the power of these technologies much more accessible to developers, resulting in the increasing deployment of hybrid GPGPU-based…
Moab® HPC Suite is a workload and resource orchestration platform that automates the scheduling, managing, monitoring, and reporting of HPC workloads on massive scale. The patented Moab intelligence engine uses multi-dimensional policies and advanced future modeling to optimize workload start and run times on diverse resources.