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GPU execution and memory model v1.0.0

Use this resource to analyze warp divergence, coalescing and bank conflicts in a GPU kernel

New

  • 442 downloads
  • 241 likes
  • 172 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install gpu-memory-model-optimization

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 explains how a GPU runs threads and accesses memory, then reviews your kernel for warp divergence, uncoalesced global accesses or shared memory bank conflicts. It also helps you choose a block size that balances occupancy and register pressure.

Mostly picked by

Updated November 2, 2026

Card for the “GPU execution and memory model” skill

Details

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

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What you get

  • SKILL.md: SIMT execution, divergence, coalescing and shared memory
  • SKILL.md: L1 and L2 caches, atomics and occupancy trade-offs

Good fit for

  • Your kernel is memory-bound despite high theoretical bandwidth
  • You port a kernel from an NVIDIA GPU to an AMD GPU with 64-thread wavefronts

Not for

    Tags

    • gpu
    • simt
    • memory
    • occupancy

    About

    You say

    “Explain why my transpose kernel has bank conflicts and suggest a conflict-free layout.”

    Card for the “GPU execution and memory model” 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 analyze warp divergence, coalescing and bank conflicts in a GPU kernel
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md7.9 KB

    Origin and licence

    Listed unmodified

    Author
    mohitmishra786
    Source
    github.com/mohitmishra786/low-level-dev-skills/tree/bdc58472fa9f309ed1b3f7d985a0d8e9bd8f4608/skills/gpu/gpu-memory-model
    Licence
    MIT

    Notice

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

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