Accessing Distributed Jupyter / Spark in OnDemand
journal contributionposted on 10.09.2018, 18:02 by OH-TECH Consortium
Any type of content formally published in an academic journal, usually following a peer-review process.
There are a variety of gateway software platforms available, each of which provide their own unique advantages. OnDemand’s unique architecture empowers developers and users to easily create and run system-level access applications as well as interactive HPC applications. In this demonstration we show the ease of use through OnDemand to standup a Jupyter / Spark stack and run a distributed workload on an HPC cluster all within a browser.