Articles

Articles provide definitions and insights into Computer-Aided Engineering (CAE) analysis with a focus on Computational Fluid Dynamics (CFD).

GPU v1.1 Linear Solver Library for OpenFOAM

ofgpu v1.1 is the latest version of our free GPL library that provides GPU (sometimes referred to as GPGPU) linear solvers for OpenFOAM® v2.2.x. The library targets NVIDIA CUDA devices on Windows, Linux, and (untested) Mac OS X. GPU acceleration holds the promise of providing significant speed up at relatively low cost and with low power consumption compared to other alternatives. If you want to try our ofgpu library with OpenFOAM then we recommend that you use either a dedicated (i.e., not displaying graphics) high-performance NVIDIA graphics card or a Tesla card.

OpenFOAM on Windows using ofgpuOpenFOAM on Windows using ofgpuHosted by Caedium Professional

OpenFOAM 2.2.x on Windows

We have updated our free Windows source code patch for the latest OpenFOAM® release (v2.2.x). As with the previous version this patch also supports 64-bit compilation using the MinGW-w64 cross-compiler and parallel computation using the native Windows MS MPI implementation provided by the free Microsoft MPI Redistributable and also available on Microsoft Windows HPC Server 2012 for clusters.

Polyhedral, Tetrahedral, and Hexahedral Mesh Comparison

Are you wondering how a polyhedral (dual) mesh compares to the equivalent tetrahedral and hexahedral meshes? Then you're in the right place. This study compares the volume element count, convergence, accuracy, and runtimes of the three different types of meshes for a simple duct.


Polygon Surface Mesh
Polygon Surface Mesh: Backward facing step in a duct

GPU v1.0 Linear Solver Library for OpenFOAM

For the latest version of ofgpu for OpenFOAM visit "GPU v1.1 Linear Solver Library for OpenFOAM".

ofgpu v1.0 is the latest version of our free GPL library that provides GPU (sometimes referred to as GPGPU) linear solvers for OpenFOAM® v2.1.x. The library targets NVIDIA CUDA devices on Windows, Linux, and (untested) Mac OS X. GPU acceleration holds the promise of providing significant speed up at relatively low cost and with low power consumption compared to other alternatives. If you want to try our ofgpu library with OpenFOAM then we recommend that you use either a dedicated (i.e., not displaying graphics) high-performance NVIDIA graphics card or a TESLA card.

ofgpuOpenFOAM on Windows using ofgpu

Steady-State or Unsteady CFD Simulation?

"How do I know in advance whether to perform a steady-state or an unsteady CFD simulation?" is a common question I get asked. The simple answer is, "you don't know", so I thought I would provide some help on when to use unsteady (also know as transient or time-dependent) simulations. I'll outline a process and tell-tale signs to help you make a guided decision.

Unsteady Vortex Shedding Caedium CFD SimulationVelocity contours (high definition video)

OpenFOAM 2.1.x on Windows 64-bit with MS MPI

For the latest version of our Windows patch for OpenFOAM visit "OpenFOAM 2.2.x on Windows".

We have updated our free Windows source code patch for the latest OpenFOAM® release (v2.1.x). As with the previous version this patch also supports 64-bit compilation using the MinGW-w64 cross-compiler and parallel computation using the native Windows MS MPI implementation provided by the free Microsoft MPI Redistributable and also available on Microsoft Windows HPC Server 2012 for clusters.

CFD Concept Design of a Fuel-Efficient Passenger Vehicle

To realize the maximum benefit of Computer-Aided Engineering (CAE) simulation tools, such as Computational Fluid Dynamics (CFD), you have to use these analysis tools early in the concept design phase of a project. The concept design phase is the moment when the design is (pardon the pun) fluid - open to extensive geometry changes and free of the clutter of manufacturing details, such as fasteners. This is the time to design for simulation, i.e., keep your geometry simple and perform comparative analysis to explore how design parameters affect the design performance.

Caedium CFD ResultsCaedium CFD Results for Baseline GeometryShows velocity magnitude colormap on surfaces, vectors, and streamlines

GPU v0.2 Linear Solver Library for OpenFOAM

For the latest version of ofgpu for OpenFOAM visit "GPU v1.1 Linear Solver Library for OpenFOAM".

Jan. 17, 2012: Updated instructions for OpenFOAM 2.1.x

ofgpu v0.2 is the latest version of our free GPL library that provides GPU (sometimes referred to as GPGPU) linear solvers for OpenFOAM® v2.1.x. Sponsored by the Microsoft DPE team, the library targets NVIDIA CUDA devices on Windows, Linux, and (untested) Mac OS X. While this effort is still in the experimental stage, GPU acceleration holds the promise of providing significant speed up at relatively low cost and with low power consumption compared to other alternatives. If you want to try our ofgpu library with OpenFOAM then we recommend that you use either a dedicated (i.e., not displaying graphics) high-performance NVIDIA graphics card or a TESLA card.

ofgpuOpenFOAM on Windows using ofgpu

OpenFOAM 2.0.x on Windows 64-bit with MS MPI

For the latest version of our Windows patch for OpenFOAM visit "OpenFOAM 2.2.x on Windows".

We have updated our free Windows source code patch for the latest OpenFOAM® release (v2.0.x). As with the previous version this patch also supports 64-bit compilation using the MinGW-w64 cross-compiler and parallel computation using the native Windows MS MPI implementation provided by the free Microsoft HPC SDK and also available on Microsoft Windows HPC Server 2008 for clusters.

GPU Linear Solver Library for OpenFOAM

For the latest version of our Windows patch for OpenFOAM visit "OpenFOAM 2.2.x on Windows".

ofgpu is our free GPL library that provides GPU (sometimes referred to as GPGPU) linear solvers for OpenFOAM®. Sponsored by the Microsoft DPE team, the library targets NVIDIA CUDA devices on Windows, Linux, and (untested) Mac OS X. While this effort is still in the experimental stage, GPU acceleration holds the promise of providing significant speed up at relatively low cost and with low power consumption compared to other alternatives. If you want to try our ofgpu library with OpenFOAM then we recommend that you use either a dedicated (i.e., not displaying graphics) high-performance NVIDIA graphics card or a TESLA card.

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