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Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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Race Ya! An Accelerator-Native I/O Pipeline for HDF5

descriptionPublicationkeyboard_double_arrow_right Presentation 26 May 2025Publisher:The HDF5 User Group Committee
Authors: Koziol, Quincey;

doi: 10.5281/zenodo.15731305 , 10.5281/zenodo.15731304

Race Ya! An Accelerator-Native I/O Pipeline for HDF5

Abstract

GPUs and similar accelerators have become the dominant compute platform for STEM applications, from finance to space flight, and beyond. However, HDF5 continues to execute exclusively on the Host CPU of GPU nodes. This talk will present a design overview of moving the I/O pipeline filters, datatype conversions and other transforms from the CPU to the GPU, including how to perform I/O directly from GPU memory. Implementation details of the revised transform pipeline will be included, along with projected performance benefits.

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    popularity
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citations
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
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