ppu-communication
CommunityOptimize PPU multi-GPU communication for high-performance training.
Software Engineering#communication#diagnostics#performance testing#distributed training#multi-gpu#ppc-l
Authordongg622
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides comprehensive guidance and scripts for testing and diagnosing the communication performance of PPU platforms across multiple GPUs, addressing bottlenecks in distributed training environments.
Core Features & Use Cases
- Performance Testing: Includes scripts for bandwidth and latency measurement across PPU multi-GPU setups.
- System Diagnostics: Commands for checking GPU health, ICN links, ECC errors, and RDMA connections.
- Use Case: A data scientist needs to verify if the PPU multi-GPU network setup delivers optimal bandwidth before large-scale training. Running the provided scripts enables quick, accurate validation of communication efficiency.
Quick Start
Run the bandwidth testing script to measure inter-GPU data transfer rates and verify system readiness for distributed training tasks.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: ppu-communication Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#ppu-communication Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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