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BASEMENT
Basic Simulation Environment for computation of environmental flow and natural hazard simulation
Laboratory of Hydraulics, Hydrology and Glaciology (VAW)
ETH Zurich
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#1 2026-05-05 22:30:03

ClaireGilder
User
From: Missoula, Montana, US
Registered: 2023-11-19
Posts: 7

Parallelizing on multiple GPU

I have access to an 8 GPU cluster for running my model. Is there a flag I can set in my .yaml file that I use to launch the job to have the model take advantage of more than one GPU? Right now, the only flag I have is --backend cudaC in the BMv4_simulation command.

Additionally, even when I launch the model on a single GPU, it is only hitting 70% utilization and using roughly 9GB of vRAM, but i have 96GB available. Any suggestions on how to use the hardware I have more efficiently and hopefully speed up my model a bit? Are there any settings I can set in the simulation.json?

Thanks for any help!

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