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Siemens cloud characterization on Amazon Web Services

Scalability is achieved by optimizations in Siemens’ characterization tools and SPICE simulators, paired with validated AWS cloud configurations that maximize performance and scalability.
The AWS Cloud environment configuration validated for Siemens cloud characterization.
Cloud computing platforms can drastically reduce library characterization runtimes. Use cases include leveraging high-performance computing (HPC) availability for off-loading peak characterization compute capacity needs from on-premise compute clusters as well as running high-priority characterization jobs significantly faster with “burst” compute capacity. As a result, library teams can complete characterization jobs that normally require several days to run within 24 hours.

Siemens’ AMS Verification team and Amazon Web Services (AWS) have collaborated to provide a scalable, secure and cost-effective cloud-based library characterization flow that enables users to leverage cloud computing resources to accelerate library characterization, reduce compute resource bottlenecks, and improve characterization runtime predictability.

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