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  1. Summary

    High performance computing (HPC) has led to remarkable advances in science and engineering and has become an indispensable tool for research. Unfortunately, HPC use and adoption by many researchers is often hindered by the complex way these resources are accessed. Indeed, while the web has become the dominant access mechanism for remote computing services in virtually every computing area, HPC is a notable exception. Open OnDemand is an open source project negating this trend by providing web‐based access to HPC resources (https://openondemand.org). This article describes the challenges to adoption and other lessons learned over the 3‐year project that may be relevant to other science gateway projects. We end with a description of future plans the project team has during the Open OnDemand 2.0 project including specific developments in machine learning and GPU monitoring.

     
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  2. Open OnDemand (openondemand.org) is an NSF-funded open-source HPC platform currently in use at over 200 HPC centers around the world. It is an intuitive, innovative, and interactive interface to remote computing resources. Open OnDemand (OOD) helps computational researchers and students efficiently utilize remote computing resources by making them easy to access from any device. It helps computer center staff support a wide range of clients by simplifying the user interface and experience. 
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  3. null (Ed.)
    The need for distance and virtual learning platforms has been emphasized by the COVID-19 pandemic. With the closure of campuses in Spring of 2020 and many classes moving to online only in Fall of 2020, platforms for facilitating computationally oriented curriculum have had to be quickly adopted. Open OnDemand offers a familiar web-based portal to computational resources such as high-performance computing and cloud. Through OnDemands customizable dashboard, students can be offered an interface tailored to the course schedule giving them a just what I need view. Advantages to instructors include a web accessible, platform agnostic interface leading to less time for troubleshooting local student platforms and more time for discussion of the core course curriculum, a fully customizable course page, access controls, and more. Here we present Open OnDemand as a platform for developing, deploying, and presenting software and course material to software-oriented classes as used at Ohio Supercomputer Center and Virginia Tech. 
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  4. null (Ed.)
    High performance computing workloads often benefit from human in the loop interactions. Steps in complex pipelines ranging from quality control to parameter adjustments are critical to the successful and efficient completion of modern problems. We give several example workflows in bioinformatics and deep learning where computing decisions are made throughout the processing pipelines ultimately changing the course of the compute. We also show how users can interact with the pipeline using Open OnDemand plus XDMoD or Plot.ly. 
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  5. Presentation by OSC Sys Admins at the ACM SIGHPC SYSPROS Symposium held in conjunction with the PEARC19 conference 
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  6. Presentation given at the SCGI Gateways 2019 conference 
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  7. Project update from the Open OnDemand User Group meeting held at the PEARC 19 conference 
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  8. Poster on using R Shiny Apps within Open OnDemand presented at the PEARC 19 conference 
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