Achieving Higher Productivity on Abaqus Simulations with HPC Clustering Technologies

نویسندگان

  • Pak Lui
  • Gilad Shainer
  • David Cho
  • Scot Schultz
  • Richard Graham
چکیده

Engineers from wide ranges of industries face an ever increasing need to run virtual tests to simulate complex models for improving reliability as well as reducing product development time and costs. Abaqus Unified FEA is designed to tackle these challenges by producing high-quality realistic simulation solutions, while delivering high performance in productivity by utilizing efficient use of modern compute cluster available in High Performance Computing (HPC). Many organizations can now deploy with HPC cluster to process such complex analyses on Abaqus with computer cluster to render such high-quality models, while reducing simulation time from days to just hours. Behind this type of computational and clustering technologies that enables Abaqus to perform, it involves complex calculations and data exchanges among computational systems. The HPC Advisory Council has performed a deep investigation on Abaqus to evaluate its performance and productivity capabilities and to explore potential optimizations. This study presents the techniques and profiling results to further understand Abaqus dependencies on the CPUs, network, and the other underlying hardware and software components. The paper will review the effects by comparing various components using different simulation models on Abaqus.

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تاریخ انتشار 2015