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perf-host-optimization

Official

Reduce TensorRT-LLM CPU overhead via profiling

Software Engineering#python#optimization#profiling#line_profiler#tensorrt-llm#nsight#host-overhead
AuthorNVIDIA
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Profiles and optimizes host CPU overhead in TensorRT-LLM's PyTorch backend, enabling higher GPU utilization during inference.

Core Features & Use Cases

  • Automated host profiling with line_profiler (and planned nsys integration) to locate CPU bottlenecks.
  • Iterative profile-analyze-optimize-validate workflow across multiple optimization rounds.
  • Safe, incremental improvements with unit tests and results comparison to quantify gains.

Quick Start

Start the profiling loop to identify CPU bottlenecks, then apply a minimal optimization and re-profile to verify throughput gains.

Dependency Matrix

Required Modules

None required

Components

Standard package

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Please help me install this Skill:
Name: perf-host-optimization
Download link: https://github.com/NVIDIA/skills/archive/main.zip#perf-host-optimization

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