Computational Medicine in the Exascale Computing Era: Applications at the Oak Ridge Leadership Computing Facility

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Abstract

Computational medicine has revolutionized healthcare by leveraging cutting-edge computing technologies to advance medical research and improve patient outcomes. For decades, high performance computing (HPC) has been a great ally to biological modeling but over the past few years HPC use for biomedical applications has been growing steadily. With the rise of exascale computing, promising to deliver unprecedented computing power and scalability, the potential of computational medicine is even greater. This paper discusses opportunities and some challenges exascale computing presents for advancing computational medicine. In addition, the paper highlights some applications addressing pressing healthcare delivery challenges of our time.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE John Vincent Atanasoff Symposium on Modern Computing, JVA 2023
EditorsShaukat Ali, Claudio A. Ardagna, Nimanthi Atukorala, Johanna Barzen, Carl K. Chang, Rong N. Chang, Jing Fan, Ismael Faro, Sebastian Feld, Geoffrey C. Fox, Zhi Jin, Frank Leymann, Florian Neukart, Salvador de la Puente, Manuel Wimmer
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages75-79
Number of pages5
ISBN (Electronic)9798350328899
DOIs
StatePublished - 2023
Event2023 IEEE John Vincent Atanasoff Symposium on Modern Computing, JVA 2023 - Hybrid, Chicago, United States
Duration: Jul 2 2023Jul 8 2023

Publication series

NameProceedings - 2023 IEEE John Vincent Atanasoff Symposium on Modern Computing, JVA 2023

Conference

Conference2023 IEEE John Vincent Atanasoff Symposium on Modern Computing, JVA 2023
Country/TerritoryUnited States
CityHybrid, Chicago
Period07/2/2307/8/23

Funding

This research also used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the DOE Office of Science under Contract No. DE-AC05-00OR22725. ACKNOWLEDGMENT This manuscript has been authored by UT-Battelle LLC under Contract No. DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of the manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

FundersFunder number
U.S. Department of Energy
Office of ScienceDE-AC05-00OR22725
UT-Battelle

    Keywords

    • computational medicine
    • exascale computing
    • health informatics
    • high performance computing

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