Towards exascale simulations of granular fluidization in offshore wind turbine foundations

This dataset contains benchmarking data (.out), a snapshot of the waLBerla framework (walberla.zip), a snapshot of the lbmpy framework (lbmpy.zip), and the initial soil states (spheres_out.zip) for the following paper: "Towards exascale simulations of granular fluidization in offshore wind turbine foundations". How to build the code unzip walberla.zip unzip lbmpy.zip pip install Jinja2==3.1.4 py-cpuinfo==9.0.0 pip install -e ./lbmpy cd walberla mkdir build cd build cmake .. -DWALBERLA_BUILD_WITH_CODEGEN=ON (per default, the code is built for CPUs, if it should run on NVIDIA GPUs, add "-DWALBERLA_BUILD_WITH_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES=60", if it should run on AMD GPUs, add "-DWALBERLA_BUILD_WITH_HIP=ON" instead) cd apps/showcases/SuctionBucket make -j The run configurations and compile flags are included in the benchmarking data (.out). Relation between figures in the paper and .out files Figure 2 & 3: "benchmark_suction_bucket_*_single_node.*.out" Figure 4: "benchmark_suction_bucket_*_single_node.*.out", "benchmark_percolation_*_single_node.*.out" Figure 6 & 7: "benchmark_suction_bucket_*_strong_scaling.*.out" Figure 8 & 9: "benchmark_suction_bucket_*_weak_scaling.*.out" Figure 10: "benchmark_suction_bucket_*_weak_scaling_analysis.*.out"