Deprecated: Use of this version of cupy is deprecated. More information on our Applications Support and Retention Policy.CuPy is an implementation of NumPy-compatible multi-dimensional array on CUDA. CuPy consists of cupy.ndarray, the core multi-dimensional array class, and many functions on it. It supports a subset of numpy.ndarray interface.
Accessing cupy 5.4.0-fosscuda-2018b-Python-3.6.6
To load the module for cupy 5.4.0-fosscuda-2018b-Python-3.6.6 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load cupy/5.4.0-fosscuda-2018b-Python-3.6.6
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.
- cupy 5.4.0
- fastrlock 0.4
For more information visit the cupy website.
This version of cupy is a direct dependent of: mne/0.17.2-fosscuda-2018b-Python-3.6.6
Last modified on 4th June 2019