Leveraging Cloud to Accelerate Library Characterization

Cloud platforms have gained significant viability and popularity for EDA workloads in recent years. One of the EDA tasks that readily takes advantage of the scalability of cloud computing platforms is library characterization. We have seen many library teams look towards cloud platforms to address compute capacity for peak demand.

Siemens EDA collaborates with major cloud platforms including Amazon Web Services and Microsoft Azure to provide validated workflows & optimized tools for mutual customers. This web presentation outlines the recommended steps and best practices to ensure a secure, scalable and cost-effective cloud architecture for library characterization. We also present a case study on Siemens EDA's library characterization solution running on Microsoft Azure Cloud platform.