mkl-dnn 0.16-fosscuda-2018b

Deprecated: Use of this version of mkl-dnn is deprecated. More information on our Applications Support and Retention Policy.

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

Accessing mkl-dnn 0.16-fosscuda-2018b

To load the module for mkl-dnn 0.16-fosscuda-2018b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load mkl-dnn/0.16-fosscuda-2018b

There is a CPU version of this module: mkl-dnn 0.16-foss-2018b

BEAR Apps Version

2018b

Architectures

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.

More Information

For more information visit the mkl-dnn website.

Dependencies

This version of mkl-dnn has a direct dependency on: fosscuda/2018b

Required By

This version of mkl-dnn is a direct dependent of: PyTorch/0.4.1-fosscuda-2018b-Python-3.6.6

Other Versions

These versions of mkl-dnn 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.

Version BEAR Apps Version
0.16-foss-2018b 2018b

Last modified on 4th June 2019