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04. Performance Benchmarking ​

章节导航图

Chapter focus: reproducible benchmarks to baseline hardware, network and storage — theory first, then measure, then tooling.

Outcomes ​

  • CPU theory → estimation → measurement (three-step methodology)
  • GPU / AMD / memory-bandwidth platform benchmarks
  • NCCL collective-communication and parallel-FS benchmarks
  • A portable HPC benchmark toolkit

🧭 Reading Map ​

  • Prerequisites: 03. Cluster Architecture — benchmarks target the cluster you planned
  • Role: Part-1 L1 benchmarking chapter — turning "is it good enough?" into a quantifiable baseline
  • Order: CPU (theory→estimation→measurement) → GPU/platform → network (NCCL) → storage (IOR/mdtest) → toolkit
  • Next: 05. Parallel Storage — the data plane: how training data feeds the cluster

Articles ​

CPU Benchmarking (Theory → Estimation → Measurement)

GPU & Platform Benchmarking

Network Benchmarking

Storage Benchmarking

AI-HPC Expert · Contact: openaihpc@gmail.com