magma 2.7.2-foss-2023a-CUDA-12.1.1

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 2.7.2-foss-2023a-CUDA-12.1.1

To load the module for magma 2.7.2-foss-2023a-CUDA-12.1.1 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a
module load magma/2.7.2-foss-2023a-CUDA-12.1.1

BEAR Apps Version

2023a

Architectures

EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30)

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 magma website.

Dependencies

This version of magma has a direct dependency on: CUDA/12.1.1 foss/2023a UCX-CUDA/1.14.1-GCCcore-12.3.0-CUDA-12.1.1

Required By

This version of magma is a direct dependent of: PyTorch/2.1.2-foss-2023a-CUDA-12.1.1

Other Versions

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

Last modified on 4th September 2024