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Presentation . 2024
License: CC BY
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Presentation . 2024
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Efficient HDF5 Data Access for Exa-scale Scientific Application

Authors: TANG, Houjun;

Efficient HDF5 Data Access for Exa-scale Scientific Application

Abstract

New exascale-scale supercomputers advance scientists' ability to perform large-scale simulations. The regional earthquake simulations in the DOE-funded EQSIM project can now create high-resolution, spatially dense ground motions that provide new insights into understanding and quantifying seismic risk. However, accessing and working with these massive datasets, which can be over hundreds of terabytes, can be a significant challenge. In this talk, I will discuss our recent developments for practical data access and visualization of large HDF5 datasets.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green