numexpr 2.7.1-fosscuda-2019b-Python-3.7.4The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime.
Accessing numexpr 2.7.1-fosscuda-2019b-Python-3.7.4
To load the module for numexpr 2.7.1-fosscuda-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load numexpr/2.7.1-fosscuda-2019b-Python-3.7.4
There is a CPU version of this module: numexpr 2.7.1-foss-2019b-Python-3.7.4
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 numexpr website.
This version of numexpr has a direct dependency on: fosscuda/2019b Python/3.7.4-GCCcore-8.3.0 SciPy-bundle/2019.10-fosscuda-2019b-Python-3.7.4
This version of numexpr is a direct dependent of: PyTables/3.6.1-fosscuda-2019b-Python-3.7.4
These versions of numexpr 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.
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Last modified on 16th July 2020