1. Introduction
  2. Alumet core, plugins, agent
  4. Installation and Configuration
  5. Installing Alumet
  6. Running Alumet
  7. Configuration file
  8. Distributed measurement with the "relay" mode
  10. Tutorials for common use cases
  11. Measuring the energy consumption of an AI model training
  12. Monitoring an entire system
  14. Plugins reference
  15. Measurement Sources
    1. procfs: Linux system and process information
    2. rapl: x86 CPU energy consumption
    3. nvml: dedicated NVIDIA GPUs
    4. jetson: NVIDIA Jetson edge devices
    5. Integration with HPC batch schedulers
      1. oar3: measure OAR3 jobs
      2. oar2: measure OAR2 jobs
      3. slurm: measure Slurm jobs
    7. k8s: measure Kubernetes pods
  17. Data Transforms
    1. aggregation: aggregate data
    2. energy-attribution: attribute the energy consumed by the hardware to the software
    3. energy-estimation-tdp: estimate the energy consumption when it cannot be measured
  19. Measurement Outputs
    1. CSV files
    2. InfluxDB
    3. MongoDB
    4. ElasticSearch / OpenSearch
    5. OpenTelemetry
    6. Prometheus
  21. Special plugins
    1. Relay client and server
    2. socket-control
  24. Community
  25. Who is behind ALUMET?
  26. Contributing