1d:I[2890,["266","static/chunks/870fdd6f-4fcc92c129a57d11.js","970","static/chunks/970-91a3a37cc668faba.js","857","static/chunks/857-ec82b1c12611d99f.js","965","static/chunks/app/podcasts/episode/%5BpodcastEpisodeGuid%5D/page-e939c6b91b4a25d4.js"],"default"] 1e:I[1318,["266","static/chunks/870fdd6f-4fcc92c129a57d11.js","970","static/chunks/970-91a3a37cc668faba.js","857","static/chunks/857-ec82b1c12611d99f.js","965","static/chunks/app/podcasts/episode/%5BpodcastEpisodeGuid%5D/page-e939c6b91b4a25d4.js"],"default"] 1f:T615,

🌎 Simcenter Engineering: https://go.sw.siemens.com/QeBWrR7w 🎬 Simcenter YouTube: https://www.youtube.com/c/SiemensSoft...

Hear Petr Kodl from Siemens talk about GPU-enabled acceleration of CFD simulation. Representation of the benefits of running Simcenter STAR-CCM+ on GPUs provides computational fluid dynamics (CFD) capabilities to go faster while modeling the complexity. One of the constant challenges for computational fluid dynamics (CFD) engineers is to have a good level of simulation throughput. CPUs, ARM, GPUs: In times of an increasingly heterogeneous hardware landscape, there are many choices, and simulation engineers need to identify the hardware that best fits their current needs.

—————————————————————————————

‌

Episode description

GPU-Accelerated Fluid Dynamics - Petr Kodl | Podcast #121

Episode description