Accelerate Your Ansys CFD Simulations Using GPUs

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Check out the recorded webinar

In this upcoming KVA, we explore how GPUs can be leveraged to reduce CFD simulation time, hardware costs, and power consumption. We will talk briefly about using GPUs in the Offload mode to gain some local acceleration, but mainly focus on the new and exciting technology of using the fully resident native Multi-GPU Solver in Ansys Fluent.  The webinar will cover important topics such as the capabilities supported by the native GPU solver in the latest release version, roadmap for the future, performance benchmarks showing comparisons between using CPU cores versus GPUs for the same problem, Ansys GPU licensing requirements, and validation results for GPU solved examples. Join us for this session to learn how six high-end GPUs can provide the same performance as roughly 2000 CPUs.

Session Presenters

Snigdha Sarkar

Simulation Practice Leader

Snigdha serves as the Simulation Practice Lead and is a certified Ansys Application Engineer, specializing in Fluids and Multiphysics simulations. She holds a Master's Degree in Mechanical Engineering with a focus on Computational Fluid Dynamics (CFD). Her expertise encompasses various areas, including heat transfer, multiphase flows, discrete phase flows, FSI, battery modeling, and combustion. With extensive experience in the automotive industry, Snigdha possesses an in-depth understanding of how to harness the power of simulation for improving product performance, reducing costs, and minimizing time-to-market. Snigdha specializes in supporting and training customers in CFD and Design Optimization tools such as Ansys Fluent, Discovery, CFX, Polyflow, Chemkin, Workbench, Ansys Rocky, and Autodesk CFD.

  			  
  		

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