Altair Feko: Which solution methods support GPU acceleration?

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This article lists the solution methods in Feko that support GPU acceleration for sequential (single CPU core) runs.

 

Feko supports the use of a graphics processing unit (GPU) for simulation acceleration using the unified device architecture (CUDA) framework from NVIDIA.

The computational phases targeted for execution on a CUDA-based GPU show a significant speedup compared to standard CPU-based execution.

 

Note: Minimum requirements for CUDA device:

• • Compute capability of at least 3.5.
  • Driver installed on system must support CUDA 11.6.

 

The following solution methods support GPU acceleration:

• MoM* for single and double precision matrix solve (LU decomposition): Support single or multiple GPUs.

• CMA: Supports multiple GPUs.

• RL-GO for manual (fixed) ray launching grid and flat meshes (not curvilinear): Supports single GPU.

• FDTD: Supports single GPU.

 

* Includes SEP, VEP, planar Green's function (multilayer substrates) and thin dielectric sheets.