gpu-optimization
OfficialProfile, optimize LibuIPC CUDA kernels.
AuthorspiriMirror
Version1.0.0
Installs0
System Documentation
What problem does it solve?
GPU optimization workflow automates profiling, analysis, and optimization of CUDA kernels within LibuIPC to achieve faster simulation times and more efficient GPU usage.
Core Features & Use Cases
- Profiling and bottleneck identification with Nsight Compute and timer-based reports.
- Guided optimization workflow across build variants and kernel parameters for both CPU-GPU and GPU-bound stages.
- Real-world scenarios include large-scale rigid/soft body simulations where reducing kernel duration yields meaningful frame-time improvements.
Quick Start
Run the gpu-optimization workflow to profile and optimize CUDA kernels in libuipc using uipc.profile, uipc.profile.nsight, and Nsight Compute CLI.
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: gpu-optimization Download link: https://github.com/spiriMirror/libuipc/archive/main.zip#gpu-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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