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In the world of computational fluid dynamics (CFD), efficiency and performance are paramount. That's why we're excited about the integration of GPU acceleration in Siemens Simcenter STAR-CCM+.

As industries push the boundaries of innovation, STAR-CCM+ is leading the charge by harnessing the power of GPUs to supercharge simulations. Whether you’re working on complex fluid flow analysis, heat transfer studies, or large optimization problems, the ability to leverage GPUs means you can achieve faster results and tackle larger challenges with ease.

Why is this a game-changer?

  1. Speed: GPU acceleration can dramatically cut down simulation times, enabling quicker iterations and faster insights.
  2. Scalability: The enhanced computational power provided by GPU acceleration lets you tackle larger, more complex problems.

Implementing GPU acceleration involves ensuring compatibility and configuring your setup correctly, but the benefits are well worth the effort. For those challenging the leading edge for CFD and STAR-CCM+, GPU technology represents a significant leap forward.

In this webinar, we will discuss an ATA project in which we worked with Nvidia and Exxact to assess the speedup that GPUs provide, and we will also offer real-world observations on use cases and the pros and cons of using GPUs vs CPUs.

 

 

 

Agenda:

  • ATA Introduction
  • Simcenter STAR-CCM+ and GPU Introduction
  • Nvidia and GPUs
  • Exxact Overview
  • STAR-CCM+ benchmark study

Speakers:

  • Adam Green (ATA Engineering, Inc.)
  • Ian Pegler (Nvidia)
  • Justin Wang (Exact)
  • Tim Palmer (ATA Engineering, Inc.)