Technology Category
- Functional Applications - Enterprise Resource Planning Systems (ERP)
- Processors & Edge Intelligence - Embedded Operating Systems
Applicable Industries
- Aerospace
- National Security & Defense
Applicable Functions
- Procurement
- Product Research & Development
Use Cases
- Inventory Management
- Tamper Detection
Services
- Hardware Design & Engineering Services
- System Integration
About The Customer
Lockheed Martin is a global security and aerospace company headquartered in Bethesda, Maryland. The company employs approximately 97,000 people worldwide and is principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services. Lockheed Martin staffs several government-owned high-performance computing (HPC) programs that provide support for managing resources used by government-directed R&D contractors and scientists to support computer-intensive modeling and simulation research. The company provides supercomputing hardware and helps users convert, optimize and parallelize their software codes to run as efficiently as possible on the government-owned HPC systems. The Lockheed Martin staff also helps contractors and scientists get access to the data they need to perform their computational research.
The Challenge
Lockheed Martin, a global security and aerospace company, was faced with the challenge of managing high-performance computing (HPC) resources in multi-level security environments. The company configures systems for the government using Red Hat Enterprise Linux 6 cross-domain system (CDS) configurations for multi-level security (MLS). This configuration allows users and data at different security levels to share the same resources, which is particularly useful for the U.S. military and intelligence communities. However, because users at different security levels share the system, Lockheed Martin needed to deploy a resource scheduler capable of operating in an MLS Red Hat Enterprise Linux environment. This would enable the greatest flexibility in setting queue and job priorities, providing automated accounting information, and offering many other capabilities to help each user complete their runs in the appropriate time and with the appropriate priority.
The Solution
Lockheed Martin worked with Altair to deploy a cross-domain security version of PBS Professional for Red Hat Enterprise Linux. This solution delivered strong security capabilities for HPC workload management and enabled Lockheed Martin to consolidate HPC systems, reducing costs and improving system utilization and efficiency. Lockheed Martin evaluated all proven HPC resource management vendors and closely investigated the ability of each vendor to meet queuing and prioritization requirements. They chose Altair's PBS Professional because it abstracts technical complexities to provide a consumable interface for cross-domain supercomputing, supporting multi-level security and unifying underlying security controls with workload management. Lockheed Martin originally installed PBS Professional on two SGI UV100 systems and quickly added 3 additional systems. They then installed 5 Cray(R) CS(TM) distributed memory clusters in their new data center with a total of 388 sockets, representing the first use of MLS on distributed memory cluster systems.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Airbus Soars with Wearable Technology
Building an Airbus aircraft involves complex manufacturing processes consisting of thousands of moving parts. Speed and accuracy are critical to business and competitive advantage. Improvements in both would have high impact on Airbus’ bottom line. Airbus wanted to help operators reduce the complexity of assembling cabin seats and decrease the time required to complete this task.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Aerospace & Defense Case Study Airbus
For the development of its new wide-body aircraft, Airbus needed to ensure quality and consistency across all internal and external stakeholders. Airbus had many challenges including a very aggressive development schedule and the need to ramp up production quickly to satisfy their delivery commitments. The lack of communication extended design time and introduced errors that drove up costs.
Case Study
Developing Smart Tools for the Airbus Factory
Manufacturing and assembly of aircraft, which involves tens of thousands of steps that must be followed by the operators, and a single mistake in the process could cost hundreds of thousands of dollars to fix, makes the room for error very small.
Case Study
Accelerate Production for Spirit AeroSystems
The manufacture and assembly of massive fuselage assemblies and other large structures generates a river of data. In fact, the bill of materials for a single fuselage alone can be millions of rows of data. In-house production processes and testing, as well as other manufacturers and customers created data flows that overwhelmed previous processes and information systems. Spirit’s customer base had grown substantially since their 2005 divestiture from Boeing, resulting in a $41 billion backlog of orders to fill. To address this backlog, meet increased customer demands and minimize additional capital investment, the company needed a way to improve throughput in the existing operational footprint. Spirit had a requirement from customers to increase fuselage production by 30%. To accomplish this goal, Spirit needed real-time information on its value chain and workflow. However, the two terabytes of data being pulled from their SAP ECC was unmanageable and overloaded their business warehouse. It had become time-consuming and difficult to pull aggregate data, disaggregate it for the needed information and then reassemble to create a report. During the 6-8 hours it took to build a report, another work shift (they run three per day) would have already taken place, thus the report content was out-of-date before it was ever delivered. As a result, supervisors often had to rely on manual efforts to provide charts, reports and analysis.