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Simplifying Scientific Application Access in Kubernetes with Push Button Deployments

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Preston SmithAuthors Info & Claims

PEARC '22: Practice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You

Article No.: 78, Pages 1 - 2

https://doi.org/10.1145/3491418.3535164

Published: 08 July 2022 Publication History

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Abstract

The Geddes Composable Platform is a Kubernetes-based private cloud resource at Purdue University. To streamline adoption of the platform and lower the barrier to entry, we created push button deployments for some of the popular applications used by Purdue researchers and made them available via Geddes’ Rancher web-based user interface using Helm and Rancher Charts. With little knowledge of the underlying system, a new user can use a web form to deploy custom applications, including JupyterHub instances, Alphafold, CryoSPARC and the Triton Inference Server.

References

[1]

Alphafold. 2022. Alphafold Github Repository. Retrieved March 31, 2022 from https://github.com/deepmind/alphafold

Google Scholar

[2]

John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A A Kohl, Andrew J Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler, Trevor Back, Stig Petersen, David Reiman, Ellen Clancy, Michal Zielinski, Martin Steinegger, Michalina Pacholska, Tamas Berghammer, Sebastian Bodenstein, David Silver, Oriol Vinyals, Andrew W Senior, Koray Kavukcuoglu, Pushmeet Kohli, and Demis Hassabis. 2021. Highly accurate protein structure prediction with AlphaFold. Nature 596, 7873 (2021), 583–589. https://doi.org/10.1038/s41586-021-03819-2

Crossref

Google Scholar

[3]

NVIDIA. 2022. GPU-optimized AI, Machine Learning, & HPC Software. Retrieved March 31, 2022 from https://catalog.ngc.nvidia.com

Google Scholar

[4]

NVIDIA. 2022. NVIDIA Triton Inference Server. Retrieved March 31, 2022 from https://developer.nvidia.com/nvidia-triton-inference-server

Google Scholar

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Published In

PEARC '22: Practice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You

July 2022

455 pages

ISBN:9781450391610

DOI:10.1145/3491418

Editors:
Julie Wernert
Indiana University
,
Alan Chalker
Ohio Supercomputer Center
,
Shava Smallen
San Diego Supercomputer Center, University of California, San Diego
,
Tabitha Samuel
University of Tennessee, Knoxville
,
JP Navarro
Argonne National Laboratory

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 08 July 2022

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NSF (National Science Foundation)

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PEARC '22

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PEARC '22: Practice and Experience in Advanced Research Computing

July 10 - 14, 2022

MA, Boston, USA

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Overall Acceptance Rate 133 of 202 submissions, 66%

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RT-kubernetes: containerized real-time cloud computing

Kubernetes: Towards Deployment of Distributed IoT Applications in Fog Computing

KOSMOS: Vertical and Horizontal Resource Autoscaling for Kubernetes

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