Download PDF
CEA Tech Enhances R&D Efficiency with Altair Accelerator
Technology Category
- Application Infrastructure & Middleware - Event-Driven Application
Applicable Industries
- Electronics
- Equipment & Machinery
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Time Sensitive Networking
Services
- System Integration
The Challenge
CEA Tech, a technology research unit for the French Alternative Energies and Atomic Energy Commission, is a global leader in miniaturization technologies. As a research and development center, they develop advanced technologies that require a robust computing infrastructure. They use various process design kits (PDKs) from multiple foundries for R&D designs, which include complex digital systems on a chip (SoCs), RF circuits, and analog and mixed-signal chips. EDA licenses are used throughout the design flow, with compute jobs varying in terms of run time and memory footprint. The design flows for circuits in advanced nodes are complex, making it critical to manage licenses and job scheduling to shorten the design cycle. CEA Tech needed to improve license utilization and ensure that licenses are freed quickly to be made available to queued jobs.
About The Customer
CEA Tech is the Grenoble-based technology research unit for the French Alternative Energies and Atomic Energy Commission (CEA). They are a global leader in miniaturization technologies that enable smart digital systems and secure, energy-efficient solutions for industry. By improving companies’ competitiveness through product performance and differentiation, CEA Tech catalyzes and accelerates innovation, pioneering micro- and nanotechnologies and tailoring solutions for global companies, small and medium-sized enterprises, and startups alike. Their multi-disciplinary team of experts tackles critical challenges in healthcare, energy, digital migration, and more in their world-class facilities.
The Solution
CEA Tech was already using Altair® Monitor™ for real-time EDA license monitoring and management when they evaluated three competing job schedulers to further optimize their design process. They chose Altair® Accelerator™ because of its scalability, superior visibility, and seamless integration with existing tools. Accelerator has several important strengths, including two interfaces that allow the team to view job status and another that displays servers, running jobs, license resources, cores, RAM, and more. Accelerator calculates the right resources for interactive and batch jobs automatically, so designers don’t need to worry about detailed resource specifications. Jobs run on the fastest servers based on time of day, and the system prioritizes critical jobs. This ensures jobs execute on the fastest available machines, improving turnaround time and making optimal use of available licenses.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Remote Temperature Monitoring of Perishable Goods Saves Money
RMONI was facing temperature monitoring challenges in a cold chain business. A cold chain must be established and maintained to ensure goods have been properly refrigerated during every step of the process, making temperature monitoring a critical business function. Manual registration practice can be very costly, labor intensive and prone to mistakes.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
