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Title: Onboarding Users to A64FX via Open OnDemand
Arm HPC has succeeded in scaling up in the supercomputing space with the deployment of systems like RIKEN’s Fugaku supercomputer and Sandia’s Astra cluster. At the same time, the onboarding of new users to the Arm HPC ecosystem has never been more complex due to an overabundance of compilers, libraries, and build options for tools and applications. This work investigates one particular method to ease the integration of new users into the space of Arm HPC through the use of Open OnDemand to provide a consistent and easy-to-use front-end for Georgia Tech’s A64FX cluster, Octavius. We detail the motivations for this deployment as well as the potential pitfalls in integrating with an Arm A64FX environment. User-motived applications that incorporate the interactive usage of virtual desktops and Jupyter notebooks are discussed as motivating user workflows, and we provide some context on how future deployments might look with combined Arm and Open OnDemand integration.  more » « less
Award ID(s):
2016701
PAR ID:
10367854
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
IWAHPCE22; HPCAsia 2022 Workshop: International Conference on High Performance Computing in Asia-Pacific Region Workshops
Page Range / eLocation ID:
78 to 83
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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