deepBlink 0.1.2-foss-2021a-CUDA-11.3.1
Threshold independent detection and localization of diffraction-limited spots.Accessing deepBlink 0.1.2-foss-2021a-CUDA-11.3.1
To load the module for deepBlink 0.1.2-foss-2021a-CUDA-11.3.1 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):
📋
module load deepBlink/0.1.2-foss-2021a-CUDA-11.3.1
There is a CPU version of this module: deepBlink 0.1.2-foss-2021a
BEAR Apps Version
Architectures
EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30) — EL8-sapphirerapids
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 deepBlink website.
Dependencies
This version of deepBlink has a direct dependency on: CUDA/11.3.1 foss/2021a matplotlib/3.4.2-foss-2021a Python/3.9.5-GCCcore-10.3.0 PyYAML/5.4.1-GCCcore-10.3.0 scikit-image/0.18.3-foss-2021a SciPy-bundle/2021.05-foss-2021a TensorFlow/2.6.0-foss-2021a-CUDA-11.3.1
Other Versions
These versions of deepBlink are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.
Version | BEAR Apps Version |
---|---|
0.1.2-foss-2021a | 2021a |
Last modified on 27th January 2022