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Accelerate your Ansys Lumerical Simulations with High Performance Computing

This webinar showcases Ansys’ continuing commitment to High-Performance Computing (HPC) for its Lumerical photonic simulation tools, including Lumerical FDTD. Ansys’ high performing FDTD works seamlessly with both in-house clusters and cloud platforms, allowing designers to meet aggressive deadlines on-time and on-budget. Following up on our initial HPC webinar, this webinar provides an overview of Ansys’ HPC solution for photonics simulations using FDTD and python API driven workflows on the cloud. It also demonstrates new HPC features for Lumerical products including support for cluster management and job scheduler tools. Furthermore, FDTD port calculations have been moved to the engine and we have made significant performance improvements to the API and FDTD meshing.

We begin by describing the benefits of HPC for FDTD simulations including the features and support provided by Ansys to get photonic designers up and running with HPC in minutes. Then we provide a brief review of performance considerations and outline the economic benefits of cloud computing, describing some of the new API and meshing performance improvements. An overview of Ansys’ accelerator and flexible burst pack license options for Lumerical products is outlined. Afterwards, we include a series of demonstrations starting off with the setup of third-party job scheduling tools. The advantages of these tools are highlighted in the context of license utilization and throughput. Next, we will configure an AWS Parallel Cluster in the cloud and discuss how to use this as a template for your own cluster. Finally, we use the python API to launch large FDTD sweeps using AWS parallel cluster and an integrated job scheduler.




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