gcccuda 2019b

There is a newer install 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 and BEAR Cloud VMs):

📋 module load gcccuda/2019b

BEAR Apps Version

2019b

Architectures

EL8-cascadelake — EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30) — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used 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.

More Information

For more information visit the gcccuda website.

Dependencies

This version of gcccuda has a direct dependency on: CUDA/10.1.243-GCC-8.3.0 GCC/8.3.0

Required By

This version of gcccuda is a direct dependent of: cuDNN/7.6.4.38-gcccuda-2019b NCCL/2.4.8-gcccuda-2019b OpenMPI/3.1.6-gcccuda-2019b

Other Versions

These versions of gcccuda are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version	BEAR Apps Version
2020b	2020b

Last modified on 18th November 2019