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.

Key Features

• Comprehensive skill evaluation and performance tracking
• Community-driven ratings and reviews
• Easy integration with Claude Code
• Regular updates and maintenance

Quick Start

TopRank Skills install vibegpu/gpuni