Port CUDA Kernel to HIP
OfficialPort CUDA kernels to HIP with ROCm parity.
Authortensormux
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Port CUDA kernels to HIP for ROCm-enabled AMD GPUs while preserving correctness and performance intent during migration.
Core Features & Use Cases
- HIP porting workflow: From CUDA to HIP using hipify, with careful review of semantic differences.
- Wavefront and memory model adaptation: Handles AMD's 64-wide wavefronts and memory semantics.
- Validation & tooling guidance: Guidance on compiling, testing, and verifying numerical equivalence to the CUDA reference.
Quick Start
Port a minimal CUDA kernel to HIP and verify functional parity on an AMD device.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Port CUDA Kernel to HIP Download link: https://github.com/tensormux/kernel-skills/archive/main.zip#port-cuda-kernel-to-hip Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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