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Morning Workflow

Description:

First things first - getting enrolled with CyVerse and setting up laptops.

There will be several short remote presentations about the different facets of CyVerse. Each section will include a question and answer session, and hands on material to get you used to working with the tools and services which are available.


Remote Presentations and Presentors

08:30 - 08:45 Overview of the day, schedule, logistics - Tyson Swetnam

08:45 - 09:30A History of CyVerse (née The iPlantCollaborative)” - Nirav Merchant, CyVerse Co-PI, Director Data7 Institute University of Arizona.

09:30 - 10:00CyVerse Data Store” - Tony Edgin, Senior Sofware Engineer Core Software, CyVerse.

10:00 - 10:15 Break

10:15 - 11:15CyVerse Discovery Environment” - Sriram Srinivasan, Lead Software Engineer Core Software CyVerse; “Apps in Discovery Environment” Upendra Devisetty Ph.D., Science Team Informatician, CyVerse.

11:15 - 12:00 “The Agave API” - John Fonner Ph.D., Research Associate, Texas Advanced Computing Center

Platforms

Topic Description Outcome
Data Store Data Creation, Transfer, Sharing CyberDuck, iCommands, and WebDav
Discovery Environment Data, Apps, Workflows Sharing/viewing, non-interactive app creation, workflows and pipeline creation, VICE.
Agave Clients, Workflow Creation ToGo, Clients, REST API

Expected Outcomes

  • Learn the history of the iPlantCollaborative, which led to CyVerse, as overview of the last 10 years of the project. Learn about the present impacts of the project, and future directions we are headed.
  • Learn how to move data in and out of the CyVerse Data Store, host data publically, and introduce the iRODS iCommands interface.
  • Learn how to utilize the data science workbench (Discovery Environment): how to create non-interactive apps using Docker, for running individual jobs as well as pipeline workflow execution. Learn about the Visual Interactive Computing Environment (VICE) for launching common scientific IDE (RStudio, Shiny, Jupyter Lab, Ubuntu Desktops).
  • Introduction to Agave and how it utilizes High Throughput Computing and High Performance Computing for a ‘bring your own compute’ platform.

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