If you are looking at building your own software then we recommend using the fosscuda toolchain.
GNU Compiler Collection (GCC) based compiler toolchain, along with CUDA toolkit.
Accessing gcccuda 2019a
To load the module for gcccuda 2019a please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load gcccuda/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.
For more information visit the gcccuda website.
This version of gcccuda is a direct dependent of: cuDNN/188.8.131.52-gcccuda-2019a-ppc64le cuDNN/184.108.40.206-gcccuda-2019a NCCL/2.4.7-gcccuda-2019a-ppc64le NCCL/2.4.7-gcccuda-2019a OpenMPI/3.1.6-gcccuda-2019a
Last modified on 5th July 2019