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GitHub Skill

gpuni

Cross-platform GPU kernel dialect — write once, run on NVIDIA (CUDA), AMD (HIP), and Intel/others (OpenCL 1.2). Use when: (1) writing portable GPU code across CUDA/HIP/OpenCL, (2) porting CUDA kernels to AMD or OpenCL, (3) creating/editing *.gu.cu files, (4) needing cross-vendor GPU compute, (5) using address-space qualifiers (__global/__local/__constant), (6) implementing portable atomics or shared memory, (7) debugging OpenCL render errors.

vibegpu☆ 0 Repository stars0 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

Features and purpose

Cross-platform GPU kernel dialect — write once, run on NVIDIA (CUDA), AMD (HIP), and Intel/others (OpenCL 1.2). Use when: (1) writing portable GPU code across CUDA/HIP/OpenCL, (2) porting CUDA kernels to AMD or OpenCL, (3) creating/editing *.gu.cu files, (4) needing cross-vendor GPU compute, (5) using address-space qualifiers (__global/__local/__constant), (6) implementing portable atomics or shared memory, (7) debugging OpenCL render errors.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

Guides ↗

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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