nemo-mbridge-perf-moe-comm-overlap
CommunityBoost MoE training throughput with comm overlap.
Software Engineering#throughput#moe#megatron-bridge#communication-overlap#model-parallel#token-dispatch
Authorsayalinvidia
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill enables performance-tuning of MoE training on Megatron Bridge by enabling overlapping of expert-parallel communication, reducing idle compute time.
Core Features & Use Cases
- MoE communication overlap knob: enables overlap between token dispatch/combine and expert computation for MoE layers.
- Optional delayed wgrad scheduling: allows additional overlap opportunities when compatible with CUDA graph scopes.
- Flex vs all-to-all dispatcher awareness: guides valid configurations for different dispatcher backends and dependencies between flags.
- Use Case: tune throughput of large MoE training jobs when EP>1 and profile shows communication time as a bottleneck.
Quick Start
Execute a basic activation of overlap on a representative run and verify throughput improvements.
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: nemo-mbridge-perf-moe-comm-overlap Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#nemo-mbridge-perf-moe-comm-overlap Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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