Download PDF
Managing 30 Teraflops of Compute Power: PBS Professional at Italy’s CILEA Consortium
Technology Category
- Analytics & Modeling - Digital Twin / Simulation
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
- Automotive
- Life Sciences
Applicable Functions
- Product Research & Development
Use Cases
- Virtual Reality
- Virtual Training
Services
- System Integration
The Challenge
CILEA, a technical consortium formed by ten universities in Italy’s Lombardy region, was faced with the challenge of managing a steep growth curve in demand for its high-performance computing (HPC) facilities. The consortium, which provides computing cycles for research, had to cope with a wide variety of disciplines, projects, and applications from its 400 registered users. These users, coming from government, industry, and academia, were driving the demand for CILEA’s facilities into a steep growth curve. The consortium responded by doubling its staff over three years and building up its HPC resources. However, managing these resources, which included a 208-blade HP cluster named Lagrange, two AMD Opteron clusters, and a 64-CPU HP Superdome SMP system, was a significant challenge. The consortium needed a workload manager that was robust, flexible, and had an excellent price/performance ratio.
About The Customer
CILEA is a technical consortium formed by ten universities in Italy’s Lombardy region. Established in 1974, its main purpose was to provide computing cycles for research. Over the years, the consortium has expanded its services to include a large digital library, e-learning courses, database development, networking, technical support for libraries, universities, and other institutions, and consulting help for its users. With 30 teraflops of peak computing power, CILEA has ranked as high as 135th among the Top 500 high performance computing centers. The consortium has 400 registered users from government, industry, and academia, and its HPC resources are used for a wide variety of disciplines, projects, and applications.
The Solution
CILEA turned to Altair’s PBS Professional to manage its HPC resources. PBS Professional, with its powerful and flexible scheduling policies, was chosen for its robustness, flexibility, and excellent price/performance ratio. The software was used to manage all 2,500 processors in CILEA’s HPC environment, including the 1,664 cores in the Lagrange cluster. PBS Professional allowed CILEA to keep its policies working at maximum levels and was easy to use, with a very short learning curve. The software was accessed by expert clients through an SSH shell using optimized scripts provided by CILEA, while less expert users were provided with a web interface. Looking ahead, CILEA plans to use its new HP server and PBS Professional to expand its influence in industry and encourage the use of simulation and HPC techniques in science and engineering.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.