parallel-strategy-analyzer
OfficialRecommend optimal distributed training strategies
Data & Analytics#strategy#parallel#distributed-training#memory-estimation#device-mesh#compute-optimization
Authormindspore-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Analyze model architecture and hardware constraints to recommend optimal parallel strategy configurations for distributed training.
Core Features & Use Cases
- Memory-aware evaluation of strategy candidates across DP/TP/PP/EP/CP/FSDP
- Auto-synthesis of device mesh recommendations and per-device memory estimates
- Use cases: selecting strategies for large-scale models (LLaMA-70B, Mixtral MoE, MLA/GQA/MHA styles) on diverse hardware
Quick Start
Provide a 70B-class model on 64 devices and the tool will output a ranked set of strategy configurations with memory, bubble, and throughput estimates.
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: parallel-strategy-analyzer Download link: https://github.com/mindspore-ai/hyper-parallel/archive/main.zip#parallel-strategy-analyzer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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