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• Write intermediate results and checkpoints as seldom as possible.
• Try to write/read larger data volumes (>1 MiB) and reduce the number of files concurrently managed in WORK.
• For inter-process communication use proper protocols (e.g. MPI) instead of files in WORK.
• If you want to control your jobs externally, consider to use POSIX signals, instead of using files frequently opened/read/closed by your program. You can send signals e.g. to batch jobs via "scancel --signal..."
• Use MPI-IO to coordinate your I/O instead of each MPI task doing individual POSIX I/O (HDF5 and netCDF may help you with this).

Analysis of meta data

Assuming an mpiAn existing application can be investigated with respect to meta data usage. Let us assume an example job script for an MPI parallel application myexample.bin.

#!/bin/bash
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=8
#SBATCH --time=01:00:00
#SBATCH --partition=standard96

srun ./myexample.bin

Known issues

For some of the codes we are aware of certain issues:

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