Brand_Name_Jusitfication.pdf

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Brand Name Moab HPC Suite Standard Maintenance Federal contract opportunity
Solicitation number
NIEHS-4071324
Issued by
Department of Health and Human Services National Institutes of Health

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Brand Name Justification

MOAB:

Software offers Intelligent Workload Management to Optimize HPC System Value The patented Moab intelligence engine uses multi-dimensional policies to accelerate running workloads across the ideal combination of diverse resources. These policies balance high utilization and throughput goals with competing workload priorities and SLA requirements. The speed and accuracy of the automated scheduling decisions optimizes workload throughput and resource utilization. This gets more work accomplished in less time, and in the right priority order. Moab HPC Suite

Drive Higher ROI from Your HPC System provides intelligent workload management that accelerates productivity automates uptime and ensures SLA’s and priorities are met. It quickly delivers powerful benefits that drive more ROI and results from your high performance computing system including:

•Higher job throughput

•Massive scalability for faster response and extensibility

•Optimum utilization of 90-99% on a consistent basis

•Fast, simple job submission and management to increase productivity

•Reduced cluster management and support costs, as well as complexity, across heterogeneous systems

•Reduced job failures and auto-recovery from failures

•SLAs consistently met for improved user and organization satisfaction

Adaptive HPC Suite and Moab Adaptive Computing Suite high-performance computing solutions.

• Moab Adaptive Computing Suite

• The ability to purchase subsequent years' licenses with subscriptions

• Standard support from Cluster Resources

• The ability to purchase premier-level support from Cluster Resources

Productivity Acceleration

Moab HPC Suite –accelerates overall system, user and administrator productivity. Moab provides the scalability, management efficiency, and easy job submission that gets results delivered from HPC resources faster and at a lower cost including:

•Massive multi-point scalability to accelerate job response and throughput, including high throughput computing

•Workload-optimized resource allocation to get more results out of heterogeneous resources and reduce costs, including tailored topology-based allocation that speeds job processing up to 200%

•Optimized, intelligent scheduling packs workload and backfills around priority jobs to efficiently use resources

•Optimized scheduling and management of accelerators, both Intel MIC and GPGPUs, for jobs to maximize their utilization and performance

•Unified workload management for heterogeneous cluster to maximize resource availability and administration efficiency

•Simplified job submission and management with advanced job arrays, self-service portal, and templates

•Administrator dashboards and reporting tools reduce management complexity, time and costs

Uptime Automation

Job and resource failures in high performance computing systems lead to delayed results, higher support costs, and missed organizational opportunities or objectives. Intelligently automates workload and resource uptime in the HPC system to ensure that jobs complete successfully and reliably to avoid these failures. Organizations can benefit from capabilities such as:

•Intelligent resource placement to prevent job failures with granular resource modeling to meet workload requirements and avoid at-risk resources

•Auto-response to failures and events with configurable actions to pre-failure conditions, amber alerts, or other metrics and monitors

•Workload-aware future maintenance scheduling that helps maintain a stable HPC system without disrupting workload productivity

•Professional technical support to ensure your workload management stays up and running at peak performance

Auto SLA Enforcement

Moab uses the powerful Moab intelligence engine to optimally schedule and dynamically adjust workload to consistently meet service level agreements (SLAs), guarantees, or business priorities. This automatically ensures that the right workloads are completed at the optimal times, balancing the complex number of using departments, priorities, and SLAs.

The MOAB software is currently in use at NIEHS. To convert to another business intelligence and forecasting solution, NIEHS would have to undertake significant level of effort to make the transition.

This effort would include selection of a new solution, installation of the new software, training for users, and migration of existing data to the new software. The current active servers and enterprise under

Moab Performance Management would have to stop and then be restarted with the new solution, resulting in considerable rework and delays. Therefore, it is in the government’s best interest to renew the maintenance and upgrade support for the existing Moab software. Verse a replacement.

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