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Accelerating Simulations Using JuliaSimCompiler

Accelerating Simulations Using JuliaSimCompiler | JuliaHub Webinar Recording - Yingbo Ma, Engineering

On-Demand Webinar

Are you a simulation engineer looking to optimize your workflow and scale up your models efficiently?

Join our exclusive webinar, where we will dive into the powerful capabilities of JuliaSimCompiler and how it can speed up simulation workflows.

In this Webinar, we will address the common hurdles faced by simulation engineers and how to leverage the capabilities of JuliaSimCompiler to enhance your simulation process. By supporting array functions in MTK models, you can achieve faster simulations and streamline your workflow significantly.

What You’ll Learn:

  • Speeding up Large MTK Models: Discover how JuliaSimCompiler can significantly accelerate the simulation time for large-scale MTK models, allowing you to run complex simulations faster than ever before.
  • Array Functions in MTK Models: Learn how to implement array operations in your MTK models using JuliaSimCompiler, enhancing the efficiency and versatility of your simulations.
  • Running Basic Neural Networks in MTK Models: Unlock the potential of basic neural networks in MTK models and explore the possibilities of integrating machine learning techniques into your simulations.

After the November 29th Webinar, we are sharing the recorded video and codes used in the live demo. This will help you gain hands-on access to the practical implementation of JuliaSimCompiler and explore its features at your own pace.

Speakers

Yingbo-1
Yingbo Ma
Engineering Team Lead
Yingbo Ma is the lead developer of MTK, and the modeling and numerics team lead at JuliaHub.

Access this Webinar for free