magma 2.6.2-foss-2022a-CUDA-11.7.0

The MAGMA project aims to develop a dense linear algebra library similar to LAPACK but for heterogeneous/hybrid architectures, starting with current Multicore+GPU systems.

Accessing magma 2.6.2-foss-2022a-CUDA-11.7.0

To load the module for magma 2.6.2-foss-2022a-CUDA-11.7.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load bear-apps/2022a
module load magma/2.6.2-foss-2022a-CUDA-11.7.0

BEAR Apps Version

2022a

Architectures

EL8-haswell (GPUs: NVIDIA P100) — EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30)

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.

More Information

For more information visit the magma website.

Dependencies

This version of magma has a direct dependency on: CUDA/11.7.0 foss/2022a UCX-CUDA/1.12.1-GCCcore-11.3.0-CUDA-11.7.0

Required By

This version of magma is a direct dependent of: PyTorch/1.12.1-foss-2022a-CUDA-11.7.0

Other Versions

These versions of magma 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 20th January 2023