Abstract
Open OnDemand is an open source project designed to lower the barrier to HPC use across many diverse disciplines. Here we describe the main features of the platform, give several use cases of Open OnDemand and discuss how we measure success. We end the paper with a discussion of the future project roadmap.
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APA
Settlage, R., Chalker, A., Franz, E., Johnson, D., Gallo, S., Moore, E., & Hudak, D. (2019). Open OnDemand: HPC for Everyone. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11887 LNCS, pp. 504–513). Springer. https://doi.org/10.1007/978-3-030-34356-9_38
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