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Manufacturing
Automotive, aerospace, semiconductors and other manufacturing industries face growing challenges to reduce design cycle times and costs; satisfy global regulations on safety and environmental concerns; and respond to customers who demand high-quality, well-designed products. The need for production-deployment of application software and Linux clusters for high-fidelity CAE and EDA simulations have become critical tools in the design path of product development.

Panasas® ActivStor Parallel Storage provides a unified storage infrastructure to improve HPC workflow efficiencies for CAE and EDA applications in Manufacturing. The combination of scalable HPC application software and Panasas parallel storage for Linux clusters, provides new and significant productivity advantages for the full range of engineering disciplines. Recent tests conducted by Panasas and various ISV alliance partners demonstrate workflow benefits that include performance gains in simulation scalability and job through-put, and pre- and post-processing of solution results—and with dramatic improvements in cost-performance.

Panasas Manufacturing customers include:
  • Boeing Commercial Aircraft Group
  • Northrop Grumman
  • Lockheed Martin
  • Honeywell Aerospace
  • Honda Motor Company
  • Hyundai Automotive Technical Center
  • BMW / Sauber F-1 Motor Sports
  • 3M Corporation
  • Samsung Institute of Advanced Technology

 Resources
Computer-Aided Engineering (CAE) Solutions Brief
CD-Adapco STAR-CD Solution Brief
Stanford University
CD-adapco Dynamics Magazine Article: "Gaining CAE Productivity with CD-adapco & Panasas"
Panasas and CD-adapco Partner to Advance CAE Productivity
"... the Panasas storage system enhanced application performance to deliver the parallel I/O efficiency and stability our researchers require. Our experience with NFS has been that as we start to increase the number of processors or processes writing in parallel to the file system, we overwhelm the appliance and cannot successfully run a large simulation. That's why we looked for a storage solution specifically optimized for parallel processing environments."
Steve Jones,
Technology Operations Manager Stanford University


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