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    Manufacturing CAE Simulation Solution

    Implement HPC for engineering simulation.

Optimize Product Design

It's simple: Computer-Aided Engineering (CAE) simulation significantly optimizes product design. Powered by High-Performance Computing (HPC), the solution speeds up computing and development and overcomes every challenge potentially in the way.

  • Difficult Collaboration

    • Processing tools for different simulation phases use different storage protocols. Data therefore needs to be migrated multiple times, dragging down efficiency.

  • High Concurrency

    • Unlike traditional transaction-based Information Technology (IT) systems, CAE simulation requires high-concurrency access and computing.

  • Complex Applications

    • With many different simulation workloads spread across a variety of disciplines, different systems are needed. That potentially makes simulation inefficient and difficult to manage.

Solution Architecture

Huawei provides Information and Communications Technology (ICT) infrastructure including data center computing, storage, and switches for fluid simulation, structure, electromagnetism, and other domains — addressing every potential challenge. The solution addresses a series of core factors, including the scheduling system, communications library, compiler, cluster management, and services.

Clear Benefits

  • Multi-Protocol Interworking

    During simulation, pre-processing files are read directly, doing away with the need for data migration.

  • Hardware and Software that Supports High Concurrency

    From CPUs and NPUs to BMCs.

    Kunpeng processors, Ascend AI chips, network interface cards, intelligent management chips, and SSD control chips.

    Full-stack software, such as parallel and math libraries.

    MPIs, scheduling management software, compilers, and more, optimize manufacturing applications.

  • Complex Workloads

    OceanStor Pacific 9540 storage systems support high-concurrency and high-OPS operations.

    System read-write performance exceeds 30,000 OPS, with a single thread providing bandwidth of 400 Mbit/s, improving simulation performance.

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