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parallelism-guide

Complete guide to parallelism in Megatron-Core: when to use each strategy, performance characteristics, and configuration examples.

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What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
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Install (Claude Code)

mkdir -p .claude/skills/parallelism-guide && curl -fsSL https://doutorai.pt/data/lib/skills__parallelism-guide.md -o .claude/skills/parallelism-guide/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Parallelism Strategies Guide

Complete guide to parallelism in Megatron-Core: when to use each strategy, performance characteristics, and configuration examples.

## Parallelism Types

### 1. Data Parallel (DP)

**How it works**: Replicate full model on each GPU, split data batches, synchronize gradients.

**Memory**: Low efficiency - full model replication
**Communication**: Low - only gradients (all-reduce)
**Scalability**: Good for small models

**When to use**:
- Models <1B parameters that fit on single GPU
- Plenty of GPUs available
- Limited model complexity

**Configuration**:
```bash

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