ftong
deb7005604
From Tomasz Balawajder: "Since we are using a Java service to launch the Python process, its behavior differs from running the script directly on the cluster. By default, Dask uses fork() to create worker processes. However, when running under the JVM, the start method defaults to spawn, which does not share memory between processes. This caused the slowdown and unexpected behavior. I’ve forced Python to use fork() in the configuration, and now the application completes in the same time as when executed with sbatch."
SeismicHazardForecasting — Official Application Repository
This repository contains the source code and configuration files for the SeismicHazardForecasting application used within the EPISODES Platform.
📦 To test or modify this application in the EPISODES Platform environment, follow the guide:
https://docs.cyfronet.pl/display/ISDOC/Editing+application+codes+guide