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
BEAR Apps Version
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.
For more information visit the mkl-dnn website.
This version of mkl-dnn has a direct dependency on: fosscuda/2018b
This version of mkl-dnn is a direct dependent of: PyTorch/0.4.1-fosscuda-2018b-Python-3.6.6
Last modified on 4th June 2019