1. Energy consumption measurement for the different instructions that can execute in modern NVIDIA GPUs

2. Accurate measurement of any GPU kernel's energy consumption using Multi-Threaded Synchronized Monitoring (MTSM)

• A GPU device with compute capability = 3.5 or later (Kepler architecture)

• Cuda v.10.1 or later
• GCC v.7 or later
• make

• Instructions_Microbenchmarks: PTX microbenchmarks to stress the GPU and compute the energy consumption of each instruction using MTSM technique

• PAPI: Compute the energy consumption of each instruction using PAPI-API

• SMA: Query the GPU's onboard power sensors to read the instantaneous power usage of the GPU device using NVML - Sampling Monitoring Approach running in the background

• MTSM: Compute the energy consumption of any GPU Kernel using Multi-Threaded Synchronized Monitoring (MTSM)

• [CF ’20] Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs

• If you find this code useful in your research, please consider citing as:

@inproceedings{Arafa2020GPUEnergy,
  author = {Y. {Arafa} and A. {ElWazir} and A. {ElKanishy} and Y. {Aly} and A. {Elsayed} and A. {Badawy} 
  and G. {Chennupati} and S. {Eidenbenz} and N. {Santhi}},
  title = {Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs},
  year = {2020},
  booktitle = {Proceedings of the 17th ACM International Conference on Computing Frontiers},
  series = {CF’20},
  url = {https://doi.org/10.1145/3387902.3392613},
  doi = {10.1145/3387902.3392613},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA}
}

GPUs-Energy is part of the original PPT (https://github.com/lanl/PPT) and is Unclassified and contains no Unclassified Controlled Nuclear Information. It abides with the following computer code from Los Alamos National Laboratory

• Code Name: Performance Prediction Toolkit, C17098
• Export Control Review Information: DOC-U.S. Department of Commerce, EAR99
• B&R Code: YN0100000

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