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Shared-memory parallelism with OpenMP v1.0.0

Use this resource to parallelize loops and tasks with OpenMP on multicore CPUs

New

  • 421 downloads
  • 108 likes
  • 126 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install openmp-shared-memory-parallelism

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent helps you add OpenMP directives to your loops, choose a scheduling clause and set data-sharing attributes. It also flags pitfalls such as false sharing and data races.

Mostly picked by

Updated November 2, 2026

Card for the “Shared-memory parallelism with OpenMP” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: parallel loops, scheduling, reductions and data-sharing attributes
  • SKILL.md: SIMD hints, tasks, GPU offloading and timing

Good fit for

  • A C or Fortran loop runs on a single core
  • Your program stops scaling when you add threads

Not for

    Tags

    • openmp
    • parallelism
    • multicore
    • threads

    About

    You say

    “Parallelize this average computation loop with OpenMP, using a reduction clause and dynamic scheduling.”

    Card for the “Shared-memory parallelism with OpenMP” skill

    Skill published by mohitmishra786 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to parallelize loops and tasks with OpenMP on multicore CPUs
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6 KB

    Origin and licence

    Listed unmodified

    Author
    mohitmishra786
    Source
    github.com/mohitmishra786/low-level-dev-skills/tree/bdc58472fa9f309ed1b3f7d985a0d8e9bd8f4608/skills/hpc/openmp
    Licence
    MIT

    Notice

    « openmp » (mohitmishra786, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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