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Several scientific applications are already able to offload computations to the MI250X, many others are in the process of being ported to AMD GPUs. Here is a list of the main ones and their current status.

NameAMD GPU AccelerationModule on Setonix
AmberYes
GromacsYes
LAMMPSYes
NAMDYes
NekRSYes
PyTorchYes
ROMSNo
TensorflowYes
, but Python packages are missing in the container.

Table 1. List of popular applications 

Module names of AMD GPU applications end with the postfix amd-gfx90a. The most accurate list is given by the module  command:

$ module avail gfx90a


Note
titleTensorflow

Tensorflow is available as container at the following location,

/software/setonix/2022.11/containers/sif/amdih/tensorflow/rocm5.0-tf2.7-dev/tensorflow-rocm5.0-tf2.7-dev.sif 

but no module has been created for it yet.


Supported Numerical Libraries

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