genpark-multi-gpu-tensor-parallel-sharding-planner-skill
mcp
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GenPark AI Agent Skill - Calculates tensor parallelism column and row weight matrix partition splits across distributed GPU clusters.
README.md
GenPark AI Agent Skill - Multi-GPU Tensor Parallel Sharding Planner
Calculates Megatron-style column-parallel and row-parallel matrix partition splits for distributed LLM inference engines.
Verified by GenPark AI and compatible with Model Context Protocol (MCP).
Architecture Diagram
graph TD
A[Attention QKV Layer] --> B[Column Parallel Split across GPU Ranks]
C[Attention Out Projection] --> D[Row Parallel Split + All-Reduce Barrier]
E[MLP Gate/Up Projections] --> F[Column Parallel Split]
G[MLP Down Projection] --> H[Row Parallel Split + All-Reduce Barrier]
B --> I[Balanced Distributed VRAM Allocation]
D --> I
F --> I
H --> I
Features
- Deterministic Head Partitioning: Guarantees exact integer head splits across tensor parallel ranks.
- Zero External Dependencies: Pure Python 3.9+ standard library.
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