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FDS on Qarnot

FDS versions available on Qarnot

Why is Qarnot’s HPC cloud ideal for FDS?

Fire Dynamics Simulator (FDS) is the gold standard for modeling fire-driven fluid flow. Because FDS’ fire safety and smoke control simulations require Large Eddy Simulation (LES), Qarnot provides the “computational muscle” needed to ensure building safety and regulatory compliance.

Massively parallel performance

FDS thrives on MPI (Message Passing Interface) for complex fire scenarios. Qarnot’s clusters allow you to split your mesh into multiple blocks across numerous cores, reducing simulation times from weeks to hours for large-scale projects like tunnels or warehouses.

High-resolution
accuracy

Capturing the precise movement of smoke and heat requires extremely fine meshes. With Qarnot’s high-memory nodes, you no longer have to compromise on resolution, ensuring more reliable data for sprinkler activation and evacuation studies for example.

Open-source
flexibility

As an open-source tool, FDS on Qarnot allows you to scale your simulations without the burden of license costs. You can run massive parametric studies simultaneously to test various fire origins and ventilation strategies at a fraction of the traditional cost.

Massively parallel performance

FDS thrives on MPI (Message Passing Interface) for complex fire scenarios. Qarnot’s clusters allow you to split your mesh into multiple blocks across numerous cores, reducing simulation times from weeks to hours for large-scale projects like tunnels or warehouses.

High-resolution
accuracy

Capturing the precise movement of smoke and heat requires extremely fine meshes. With Qarnot’s high-memory nodes, you no longer have to compromise on resolution, ensuring more reliable data for sprinkler activation and evacuation studies for example.

Open-source
flexibility

As an open-source tool, FDS on Qarnot allows you to scale your simulations without the burden of license costs. You can run massive parametric studies simultaneously to test various fire origins and ventilation strategies at a fraction of the traditional cost.

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