There is a newer version of gcccuda
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 2019b
To load the module for gcccuda 2019b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load gcccuda/2019b
BEAR Apps Version
EL8-cascadelake — EL8-haswell (GPUs: NVIDIA P100) — Ubuntu20.04-haswell
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 has a direct dependency on: CUDA/10.1.243-GCC-8.3.0 GCC/8.3.0
This version of gcccuda is a direct dependent of: cuDNN/22.214.171.124-gcccuda-2019b NCCL/2.4.8-gcccuda-2019b OpenMPI/3.1.6-gcccuda-2019b pocl/1.4-gcccuda-2019b
These versions of gcccuda 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.
Last modified on 18th November 2019