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genpark-multi-gpu-tensor-parallel-sharding-planner-skill

mcp
Guvenlik Denetimi
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SUMMARY

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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