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UID:submissions.supercomputing.org_SC23_sess448_ws_canolt101@linklings.com
SUMMARY:Kubeflow-as-a-Service on HPC clusters – First Experiences
DESCRIPTION:Workshop\n\nMohsin Ahmed Shaikh (King Abdullah University of S
 cience and Technology (KAUST)), Nasr Hussain and Islam Elmas (Brightskies 
 Inc), and Saber Feki (King Abdullah University of Science and Technology (
 KAUST))\n\nDevelopment platforms specific to domain sciences has the poten
 tial to improve user's productivity on a HPC cluster by smoothing the stee
 p learning curve using it. These platforms also help abstracting certain p
 ractices the user must implement to get the optimal performance out of the
  allocated resource. These objectives require pre-work, both on the system
 s side and at the application level. The presentation discusses the first 
 experiences of prototyping with Kubeflow and deploying it as-a-service to 
 be shared by multiple users. The deployment was designed with HPC cluster 
 or multi-node cloud instances as target computational resources. Kubeflow 
 is an opensource platform to make deployment of ML/DL workloads easy. It d
 epends on Kubernetes. Kubeflow offers a simple UI for interactive computin
 g, orchestration of workflows using Kubeflow pipeline, and an intuitive in
 terface for hyperparameter tuning experiments using Katib. These are attra
 ctive features when considering the ease of use in deploying software envi
 ronments for model and workflow development for users in academic research
  settings on cloud and university HPC cluster.\n\nRegistration Category: W
 orkshop Reg Pass\n\nSession Chairs: Richard Shane Canon (Lawrence Berkeley
  National Laboratory (LBNL)); Alberto Madonna (Swiss National Supercomputi
 ng Centre (CSCS)); Laurie A. Stephey (Lawrence Berkeley National Laborator
 y (LBNL), National Energy Research Scientific Computing Center (NERSC)); a
 nd Andrew Younge (Sandia National Laboratories)
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