enerGyPU 0.1.1-rc0

Release 0.1.1

This version of enerGyPU monitor tool is used as a submodule of DiagnoseNET application-framework for energy-workload characterization while the deep neural networks are training.

Major Features And Improvements

• Added enerGyPU_availabledevice.sh into the launcher script to get the GPU available in a multi-GPU node and pass for a high library as TensorFlow.
• Extend the energy-workload characterization in a distributed training DNN on NVIDIA Jetson TX2 capturing
  power traces with tegrastats and managing the GPU identification by each worker enerGyPU_record-cluster.sh.
• Added enerGyPU_bandwidth.sh bandwidth monitor to record between the master and each worker.

Adding enerGyPU into DiagnoseNET repository

• Clone a enerGyPUTesting branch:
  git clone -b enerGyPUTesting https://github.com/jagh/enerGyPU.git

• Build a enerGyPUTesting as submodule:
  git submodule add -b enerGyPUTesting https://github.com/jagh/enerGyPU.git

• Fix a Git detached head in a submodule:
  git checkout enerGyPUTesting

• Updated DiagnoseNet to the latest commit on enerGyPUTesting:
  git pull origin enerGyPUTesting
## Go back to DiagnoseNet directory
git add enerGyPU/
git commit -m "submodule updated"