There is a newer version of libgpuarrayLibrary to manipulate tensors on the GPU.
Accessing libgpuarray 0.7.6-fosscuda-2019a
To load the module for libgpuarray 0.7.6-fosscuda-2019a please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load libgpuarray/0.7.6-fosscuda-2019a
BEAR Apps Version
EL8-haswell (GPUs: NVIDIA P100)
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
- libgpuarray 0.7.6
For more information visit the libgpuarray website.
This version of libgpuarray has a direct dependency on: fosscuda/2019a Mako/1.0.8-GCCcore-8.2.0 NCCL/2.4.7-gcccuda-2019a-ppc64le Python/2.7.15-GCCcore-8.2.0 Python/3.7.2-GCCcore-8.2.0 SciPy-bundle/2019.03-fosscuda-2019a
This version of libgpuarray is compatible with multiple vesions of Python. At any time, only one of the versions of Python can be active and the desired version of Python should be loaded before loading this version of libgpuarray.
This version of libgpuarray is a direct dependent of: Theano/1.0.4-fosscuda-2019a
These versions of libgpuarray are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
|Version||BEAR Apps Version|
Last modified on 1st August 2019