DEM scalability
LIGGGHTS vs LAMMPS for DEM: validation and scaling on cloudHPC
LIGGGHTS vs LAMMPS on the same DEM cases: Hertz impact, Beverloo silo discharge, column collapse and scaling to 192 cores. Results, costs, pitfalls.
OpenCourant scalability
OpenCourant crash simulation: a 1.5-million-element Toyota Yaris at 56 km/h, from 8 to 192 cores on cloudHPC
We ran the 1.5-million-element CCSA Toyota Yaris LS-DYNA model in OpenCourant on cloudHPC: 45 g peak deceleration, 591 mm crush, and 85–95% parallel efficiency up to 96 cores.
calculix Code Aster scalability
Decoding Performance: A Scalability Showdown Between CalculiX and Code_Aster
In the demanding world of Finite Element Analysis (FEA), performance is king. When tackling complex engineering problems, especially with large datasets and intricate geometries, how efficiently your software scales with increasing computational resources can make or break your analysis time. This is precisely what we set out to investigate: a Read more
OpenFOAM scalability
Pushing the Boundaries: CloudHPC’s Journey at the OpenFOAM Workshop 2025 HPC Challenge in Vienna!
The world of Computational Fluid Dynamics (CFD) is constantly pushing the limits of technology, and at its heart lies High-Performance Computing (HPC). To truly innovate and solve complex engineering problems, we need robust, efficient, and scalable computing infrastructure. That’s why the HPC Challenge at the OpenFOAM Workshop 2025 in Vienna was such Read more
OpenCourant scalability
Unlocking Extreme Performance: OpenRADIOSS Scalability on CloudHPC with AMD EPYC Processors
For engineers and researchers relying on explicit dynamic finite element analysis, OpenRADIOSS is a powerful and increasingly popular open-source software choice. But how well does such complex software scale in a High-Performance Computing (HPC) environment, especially when leveraging the elasticity of the cloud? We dive into recent tests conducted on Read more
calculix Code Aster scalability
Scalability performance code_aster Vs calculiX
A new benchmark to evaluate performance of two of the most common FEM/FEA solvers is proposed. On the cloudHPC platform it is possible to execute both calculiX and code_aster simulations with the most advanced MPI compilation. None of the two solvers is, in fact, available in multi-core use – also Read more
FDS scalability
Common FDS MPI_PROCESS errors
ERROR: FDS MPI_PROCESS In the past we highlight how you can set your FDS analysis correctly to reach a good scalability. Often this involves using the MPI_PROCESS parameter to correctly split the workload among different processors. When doing that it may happen that you rin into the following error: The Read more
FDS scalability
How to reach good scalability in FDS
To speed up complex fire simulations in FDS it’s important to achieve a good scalability and equilibrate the hardware resources. Fire simulations commonly leads to long calculation time due to the large number of physical and chemical processes involved. In complex fire simulation the available hardware carries out a high Read more