First #SmoothedParticleHydrodynamics (#SPH) implementation for #ComputationalFluidDynamics to run entirely on GPU through CUDA. Supports a wide variety of rheological models, (weakly-compressible) SPH formulations, fluid/structure interaction and more.
Hardware support: NVIDIA GPUs via #CUDA, AMD GPUs via #HIP/ROCm, CPUs with optional #OpenMP parallelization. Native multi-GPU support. Multi-node is supported through #MPI.
(Managed by @giuseppebilotta)
| GitHub | https://github.com/GPUSPH/ |
| Discussion forum | https://gpusph.discourse.group |
| Website | https://gpusph.org |
| Preferred public branch | spheric2022 |
Hello all! This will be the official #GPUSPH account on the Fediverse going forward. What is GPUSPH, you ask? It's a software for #ComputationalFluidDynamics using the #SmoothedParticleHydrodynamics method, accelerated by running entirely* on GPU. In fact, it was the first to do so, leveraging the new GPGPU capabilities offered by NVIDIA CUDA.
(These days we have wider hardware support, but for a long time CUDA was all we supported.)
#introduction #newHere #CFD #HPC
*conditions apply