Systems using Moab to optimize compute resources include Oak Ridge National Laboratory (no. 5), Lawrence Livermore National Laboratory (no. 2), and - with its petaflop/s barrier breakthrough - Los Alamos National Laboratory (LANL) (no. 1).

LANL's record-breaking Roadrunner system utilizes a unique mix of dual-core AMD Opteron chips and PowerXCell 8i processors to optimize the system's speed. Roadrunner - a collaborative effort between NNSA, IBM and Los Alamos National Laboratory - uses Cluster Resources' Moab Workload Manager and TORQUE Resource Manager to help optimize performance.

"Moab adapts to Roadrunner's mixed architecture", noted David Jackson, CTO of Cluster Resources. "Scalability is often a major factor when choosing a scheduler for these systems, and Moab’s ability to manage complex environments, regardless of size, makes Moab a good fit."

Whether it's Cambridge University's 2,340-processor system (no. 112) or Lawrence Livermore National Laboratory's 212,992-processor system, Moab simplifies management across one or multiple hardware, operating system, storage, network, license, and resource manager environments to increase the ROI of clustered resources and improve system utilization to run consistently at 90-99 percent.