Improving Automotive Simulation Efficiency with Alibaba Cloud E-HPC

Alibaba Cloud Super Computing Cluster (SCC)

Alibaba Cloud Elastic High Performance Computing (E-HPC)

  1. Provides parallel scheduling by integrating HPC schedulers such as PBS Pro and Slurm.
  2. Enables load-based auto scaling of clusters based on Alibaba Cloud’s control capabilities.
  3. Supports parallel communication based on the VPC and RoCE network architectures.
  4. Provides container deployment through the SCC Shifter container.
  5. Uses CloudMetrics, which has been developed for on-cloud parallel jobs, to provide performance monitoring and analysis as well as a “performance big data” accumulation optimization engine.
  1. E-HPC can be purchased on demand without scheduling and is ready to use upon purchase. It supports many types of instances so that the most suitable computing resource ratio can be selected based on application needs. E-HPC fully reuses Alibaba Cloud products, greatly improving data security and availability.
  2. E-HPC saves a great deal of capital expenditure (CAPEX), including hardware system costs, software license costs (such as the Alibaba Cloud elastic license supported by ANSYS), server room construction costs, power and cooling costs, and daily maintenance costs. E-HPC frees users from the worry of hardware upgrades, and uses the public cloud to ensure high scalability.
  1. SAIC Motor uses SCC clusters for hybrid simulation of its passenger vehicles, improving the overall efficiency by 25%.
  2. Pera China provides customers with HPC solutions based on SCC clusters, reducing the overall costs by more than 20%.
  3. The State Key Laboratory of the Dalian Institute of Chemical Physics uses E-HPC clusters for molecular dynamics simulation computing, increasing the efficiency by 200% compared with the previous generation of GPU clusters.




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Alibaba Cloud

Alibaba Cloud

Follow me to keep abreast with the latest technology news, industry insights, and developer trends. Alibaba Cloud website:

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