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In many cases, the end of the year gives you time to step back and take stock of the last 12 months. This is when many of us take a hard look at what worked and what did not, complete performance reviews, and formulate plans for the coming year. For me, it is all of those things plus a time when I u...
Adaptive Computing Supports Latest Supercomputing Technology and Boosts Scheduling Efficiency with Moab HPC Suite 7.2

Adaptive Computing, the largest provider of private cloud management and High-Performance Computing (HPC) workload management software, today announced the release of Moab HPC Suite 7.2. This new version brings together enhancements to accelerate productivity as workload demands increase and introduces scheduling abilities for Intel® Xeon® Phi™ coprocessors. Additional enhancements include the ability to schedule dual-domain jobs for heterogeneous Cray systems, as well as the ability to automate periodic usage budget resets, and improved RPM-based deployments.

Optimized Scheduling and Allocation for Intel Xeon Phi – The latest version of Moab was designed to recognize and work with the new Intel Xeon Phi coprocessors, based on the Intel® Many Integrated Cores (MIC) technology. This ability to automatically detect Intel Xeon Phi coprocessors – and determine their location and availability – improves processor utilization to more intelligently schedule jobs and removes the need for extensive reprogramming to integrate Intel Xeon Phi coprocessors into existing systems. It also allows for policy-based scheduling, optimizing the choice of accelerators and coprocessors. As Intel Xeon Phi coprocessors are introduced into existing systems, this keeps costs and management efforts at a minimum, while maximizing utilization to ensure the most efficient job processing – by utilizing metrics including the number of cores and hardware threads, physical and memory available (total and free), max frequency, architect and load.

Dual-Domain Job Scheduling – Another new feature in Moab is the capability of dual-domain job scheduling for Cray systems. This allows for a single job to be run simultaneously on both Cray and non-Cray nodes, meaning users no longer have to submit two jobs. This is especially useful in research applications wherein different types of analysis are needed, such as multi-physics applications, allowing results to interact.

Period Allocations Reset Capability – Because resource allocations often need to be reset at regular intervals, without rollover, this feature simplifies the process – automatically resetting allocations to provide users with better transparency into usage for each predetermined period, helping them make intelligent budget decisions and eliminating the need to wait for reports.

Faster Installation – The new, streamlined RPM-based installation of the Moab HPC Suite means admins will spend less time in deployment. The new RPM install packages automate the install process for all components, including software dependencies.

Supporting Quotes

“Adaptive Computing’s early support for systems incorporating Intel Xeon Phi coprocessors with the new Moab HPC Suite 7.2 demonstrates the industry’s anticipation for this type of solution,” said Bill Magro, director of Technical Computing Software Solutions at Intel. “The combination of Intel Xeon Phi coprocessors’ efficient performance and Moab’s workload management optimization policies enables customers to accelerate job performance and significantly shorten time to solution for key product and scientific discoveries.”

“With the amazing capabilities of the latest supercomputing coprocessors such as the Intel Xeon Phi coprocessor, it’s vital to make it as simple as possible to integrate them into existing supercomputers,” noted Robert Clyde, CEO of Adaptive Computing. “The latest iteration of Moab was designed to maximize the investment being made by today’s HPC providers. Adaptive is proud to offer Intel Xeon Phi coprocessor support in Moab, along with more efficient job scheduling, to allow users to make their systems more efficient even as they become more powerful.”

“Moab HPC Suite lets us make the most out of our world-class HPC facility, improving our ability to flexibly and efficiently allocate our resources,” said Professor Paul Shellard, COSMOS@DiRAC director, Centre for Theoretical Cosmology at the University of Cambridge. “The bottom line is that we are able to run more jobs from a broad array of users, and so advance our understanding of fundamental cosmology.”

About Adaptive Computing

Adaptive Computing is the largest provider of High-Performance Computing (HPC) workload management software and manages the world’s largest cloud computing environment with Moab, a self-optimizing dynamic cloud management solution and HPC workload management system. Moab®, a patented multidimensional intelligence engine, delivers policy-based governance, allowing customers to consolidate and virtualize resources, allocate and manage applications, optimize service levels and reduce operational costs. Adaptive Computing offers a portfolio of Moab cloud management and Moab HPC workload management products and services that accelerate, automate, and self-optimize IT workloads, resources, and services in large, complex heterogeneous computing environments such as HPC, data centers and cloud. Our products act as a brain on top of existing and future diverse infrastructure and middleware to enable it to self-optimize and deliver higher ROI to the business with its:

Moab Cloud Suite for self-optimizing cloud management

Moab HPC Suite for self-optimizing HPC workload management

For more information, call (801) 717-3700 or visit

NOTE TO EDITORS: If you would like additional information on Adaptive Computing and its products, please visit the Adaptive Computing News Room at All prices noted are in U.S. dollars and are valid only in the United States.

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