Tutorial: Data sharing from a computer or cluster via SeedMe.org

<p>High performance computing processes and workflows often have several steps for example input preparation, computation monitoring, output validation, analysis and visualizations. All these processes yield small-scale consumable data such as computation progress, statistics, plots that are of high value for research team. Sharing and accessing this information by team members is often slow and cumbersome in current HPC environment. SeedMe platform lowers these barriers by providing cyberinfrastructure and necessary tools for data sharing.</p><p>This tutorial will introduce attendees to the SeedMe (Stream encode explore and disseminate My experiment) platform and show how this platform can be leveraged to share data rapidly with easy to use tools in ad hoc and/or automated manner. We will also show how to create videos from set of images, which may be useful for sharing visualization results.</p><p><em>Skill Level:</em> Level: Introductory/Beginner<br><em>Pre-requisites:</em> Basic familiarity with command line tools like changing directory and executing commands.<br><em>Networking:</em> Internet access will be required for this tutorial</p><p><em>Requirements:</em><br>1. Computer/Laptop (Mobile devices are not sufficient for this tutorial)<br>2. Account on SeedMe.org (Attendees can create an account at the tutorial)<br>3. Download SeedMe Python client<br>4. Download sample data</p>