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Articole: 10
  1. Simulating SLURM scheduling on large clusters

    Simulation using SLURM code itself. 10,000 homogeneous nodes Mixture of 50, 500 and 5000-Node jobs Submission rate at average ideal throughput of cluster All jobs take 300s with 30s dispersion Standard SLURM scheduling algorithm

  2. A slice of BayeSys3 in SLURM cluster scheduler

    Reviewing the source code of the SLURM sluster scheduler I happened on a file “skilling.c”.

  3. Is Git a database?

    Some Friday afternoon thoughts on this perennial question which yet seems to have little good info found through Google : Git is designed to store, retrieve and index trees, i.e., file-system directories, and their sub-directories and files.

  4. The Spack package manager has excellent in-built capabilities for building on system disconnected form the internet.

  5. execution::par and parallel STL in C++

    Had cause to use the STL parallel algorithms this week with excellent results.

  6. Easy SLURM job sequencing

    Mostly from: https://hpc.nih.gov/docs/job_dependencies.html .

  7. A very quick experiment to try a traditional data cleaning example with Excel and xlOil: calculate the Levenshtein distance between every pair of words.

  8. Postgresql is enough (for a room reservation system)

    Of course PostgreSQL is a enough for a room reservation system.

  9. Python forward compatibility & numpy

    At the time of writing the most recent version of Python is 3.14.2.

  10. Notes on Marimo

    Marimo is a reactive notebook system in Python.