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MAESTRO SIGNED

Middleware for memory and data-awareness in workflows

Total Cost €

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EC-Contrib. €

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Partnership

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Project "MAESTRO" data sheet

The following table provides information about the project.

Coordinator
FORSCHUNGSZENTRUM JULICH GMBH 

Organization address
address: WILHELM JOHNEN STRASSE
city: JULICH
postcode: 52428
website: www.fz-juelich.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 3˙989˙491 €
 EC max contribution 3˙989˙491 € (100%)
 Programme 1. H2020-EU.1.2.2. (FET Proactive)
 Code Call H2020-FETHPC-2017
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2021-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FORSCHUNGSZENTRUM JULICH GMBH DE (JULICH) coordinator 629˙156.00
2    CRAY COMPUTER GMBH CH (BASEL) participant 697˙200.00
3    EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS UK (READING) participant 655˙375.00
4    SEAGATE SYSTEMS UK LIMITED UK (HAVANT) participant 595˙280.00
5    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES FR (PARIS 15) participant 575˙375.00
6    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) participant 567˙955.00
7    APPENTRA SOLUTIONS SL ES (A CORUNA) participant 269˙150.00

Map

 Project objective

Maestro will build a data-aware and memory-aware middleware framework that addresses ubiquitous problems of data movement in complex memory hierarchies and at many levels of the HPC software stack.

Though HPC and HPDA applications pose a broad variety of efficiency challenges, it would be fair to say that the performance of both has become dominated by data movement through the memory and storage systems, as opposed to floating point computational capability. Despite this shift, current software technologies remain severely limited in their ability to optimise data movement. The Maestro project addresses what it sees as the two major impediments of modern HPC software:

1. Moving data through memory was not always the bottleneck. The software stack that HPC relies upon was built through decades of a different situation – when the cost of performing floating point operations (FLOPS) was paramount. Several decades of technical evolution built a software stack and programming models highly fit for optimising floating point operations but lacking in basic data handling functionality. We characterise the set of technical issues at missing data-awareness. 2. Software rightfully insulates users from hardware details, especially as we move higher up the software stack. But HPC applications, programming environments and systems software cannot make key data movement decisions without some understanding of the hardware, especially the increasingly complex memory hierarchy. With the exception of runtimes, which treat memory in a domain-specific manner, software typically must make hardware-neutral decisions which can often leave performance on the table . We characterise this issue as missing memory-awareness.

Maestro proposes a middleware framework that enables memory- and data-awareness.

 Publications

year authors and title journal last update
List of publications.
2019 François Tessier, Maxime Martinasso, Matteo Chesi, Mark Klein, Miguel Gila
Dynamically Provisioning Cray DataWarp Storage
published pages: , ISSN: , DOI:
2020-03-24

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The information about "MAESTRO" are provided by the European Opendata Portal: CORDIS opendata.

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