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Networking & Administration

Running Sim4Life over a network

4 Topics 7 Posts
  • Issues with starting the project on Sim4Life.science

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    ofliO

    Hi,
    Please allow me to share here the response we sent you via the Sim4Life support email so that other users can benefit from your questions. The default machine provides 500GB of storage, and you are running out of space for this project. If your results require more than 500GB, consider upgrading to a higher-tier machine with greater storage capacity. Alternatively, you could reduce the size of your simulation project by splitting it into multiple smaller simulations. This would allow you to continue using the default tier. Additionally, you might optimize your sensor settings, such as by creating smaller sensors and recording data for specific volumes of interest, rather than using an Overall Field sensor.

  • Running Acoustic Simulations on a Lambda Cloud Server

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    R

    I eventually configured Sim4Life on a Cloup GPU workstation (paperspace.com). The workstation has an Intel Xeon E5-2630 v3 processor, 16 virtual cores, 90 GB of RAM, and two NVIDIA Ampere A6000 GPUs, each with 48 GB of GPU memory. For Exablate Neuro transducers (220 and 670 kHz) simulations, the workstation improved simulation speed from about 200 Mcell/s with an 8-core OpenMP configuration, to about 12000 Mcells/s with two GPUs.

    The workstation allows simulations (1449x1149x816 grid, 200 periods, 670 kHz, 0.22 mm max step for 10 points per wavelength) in about 40 minutes with Fourier-domain sensor recordings and about 4 hours with Time-domain sensor recordings. Time-domain simulations seem only compatible with a single GPU, while Fourier-domain sensor simulations can use both GPUs. Also, the Fourier domain field sensor recordings create simulations that look unstable (or less accurate) compared to the time-domain field sensor recordings, with all other factors equal. Only the time-domain simulations have readily matched previous studies, but the simulation time is still too long.

    Can the time-domain sensor acoustic simulation be run on multiple GPUs? Also, most of the time for Fourier-domain simulations is spent "allocating memory for the voxel array." Is there a way to configure the GPU to preallocate memory or another way to reduce the amount of time to distribute the array memory?
  • Searching the network for remote servers running Ares

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    ofliO

    Dear Jasper,

    At the moment, it is not possible but your request will be added to the feature request list for future releases. Thanks.

  • This topic is deleted!

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