perf-hierarchical-context-parallel

Community

Enable hierarchical CP for faster scale-out

Authoryo-steven
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you correctly enable and validate hierarchical context parallelism (HCP) in Megatron-Bridge when using cp_comm_type="a2a+p2p", preventing misconfiguration that can cause OOM, regressions, or silently broken training.

Core Features & Use Cases

  • Configuration recipe for HCP: Sets the required knobs (context_parallel_size, cp_comm_type, hierarchical_context_parallel_sizes, and Bridge PG mode) to match Megatron-LM expectations.
  • Decision-aware setup guidance: Anchors the key guidance for hierarchical CP and points you to the internal docs/card for the “why” and selection logic.
  • Pitfall prevention + verification checks: Provides concrete constraints (product and divisibility), explains common failure modes, and tells you how to verify group creation via logs.

Quick Start

Enable hierarchical context parallelism by setting model.context_parallel_size=4, model.cp_comm_type=a2a+p2p, model.hierarchical_context_parallel_sizes=[2,2], and dist.use_decentralized_pg=false, then launch a small multi-GPU run and confirm logs show HIERARCHICAL_CONTEXT_PARALLEL_GROUPS.

Dependency Matrix

Required Modules

None required

Components

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: perf-hierarchical-context-parallel
Download link: https://github.com/yo-steven/skills-exploration-20260522/archive/main.zip#perf-hierarchical-context-parallel

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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