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6 changes: 5 additions & 1 deletion collections/_projects/aggregator_placement.md
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layout: post
title: Toward taming large and complex data flows in data-centric supercomputing
date: 2016-03-21
updated: 2018-01-01
updated: 2026-02-02
navbar: Research
subnavbar: Projects
project_url:
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## Results for 2017/2018
We have developed TAPIOCA, an MPI-based library implementing an efficient topology-aware two-phase I/O algorithm. TAPIOCA can take advantage of double-buffering and one-sided communication to reduce as much as possible the idle time during data aggregation. We validate our approach at large scale on two leadership-class supercomputers: Mira (IBM BG/Q) and Theta (Cray XC40). On both architectures, we show a substantial improvement of I/O performance compared with the default MPI I/O implementation.

## Results for 2024/2025
In 2024, as part of a JLESC Special Issue for the Future Generation Computer Systems (FGCS) journal, we have summarized in a paper {%cite tessierEtAl2024 --file jlesc.bib %} the work achieved over the years and discuss the results in light of recent architectures in the Exascale era.

## Visits and meetings

* Emmanuel Jeannot visited ANL on March 2015
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François Tessier moved from Inria to ANL in February 2016. A part of his work is focused on this project.
Results have been published in the 1st Workshop on Optimization of Communication in HPC runtime systems (IEEE COM-HPC16), in conjunction with SuperComputing 2016 {% cite tmv+16 --file jlesc.bib %}.
We have published our work on Tapioca in Cluster 2017 {%cite tvj17 --file jlesc.bib %}.
A summary of all our work on this JLESC project has been published in FGCS {%cite tessierEtAl2024 --file jlesc.bib %}.

{% bibliography --cited --file jlesc.bib %}

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