Opendata, web and dolomites


Robust and Energy-Efficient Numerical Solvers Towards Reliable and Sustainable Scientific Computations

Total Cost €


EC-Contrib. €






 Robust project word cloud

Explore the words cloud of the Robust project. It provides you a very rough idea of what is the project "Robust" about.

broaden    numerical    operations    computer    precision    scientific    faster    deterministic    team    data    conjunction    point    complexities    roman    opportunity    accuracy    frequently    exascale    libraries    expert    algebra    efficient    rely    derivation    optimal    solvers    runtimes    intermediate    final    stef    profile    embed    either    arithmetic    mentoring    iakymchuk    pursuing    sustainable    prof    bespoke    skill    combination    strategies    employ    floating    university    usually    algorithmic    grant    representation    kernels    fellow    performance    scalability    graillat    underutilization    dynamic    excellent    leads    distribute    experts    issue    reliability    additionally    performing    training    solutions    computations    underlying    parallel    reproducibility    associativity    lack    uniformly    output    sustainability    collaborate    orchestrated    computing    sorbonne    impair    energy    precisions    environments    specify    formal    academic    linear   

Project "Robust" data sheet

The following table provides information about the project.


Organization address
city: PARIS
postcode: 75006
website: n.a.

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 France [FR]
 Total cost 196˙707 €
 EC max contribution 196˙707 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-09-01   to  2021-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SORBONNE UNIVERSITE FR (PARIS) coordinator 196˙707.00


 Project objective

Computations in parallel environments, like the emerging Exascale systems, are usually orchestrated by complex runtimes that employ various strategies to uniformly and efficiently distribute computations and data. However, these strategies, pursuing excellent performance scalability, may also impair numerical reliability (accuracy and reproducibility) of final results due to the dynamic and, thus, non-deterministic execution as well as non-associativity of floating-point operations. Additionally, scientific computations frequently rely upon only one working precision for computing problems with various complexities, which leads to the significant underutilization of the floating-point representation or the lack of accuracy. The Robust project aims to address the issue of reliable and sustainable scientific computations through developing robust, energy-efficient, and high performing algorithmic solutions for underlying numerical linear algebra solvers and libraries as well as applying these solutions in applications and kernels at scale. The fellow, Roman Iakymchuk, is an expert in numerical linear algebra and high-performance computing and will collaborate with the research team of Prof. Stef Graillat at the Sorbonne University, who are experts in numerical analysis and computer arithmetic. This unique collaboration and combination of skill sets are crucial to embed numerical reliability and sustainability in algorithmic solutions for linear algebra operations and solvers. The derivation of novel robust algorithmic solutions, which will lead to either faster or more energy-efficient execution, will also grant a user an opportunity to specify the expected output accuracy of computations while ensuring optimal intermediate precisions. This ambitious research project in conjunction with formal training and bespoke mentoring will enhance the fellow's academic profile, research experience, and broaden skill set in numerical analysis and computer arithmetic.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "ROBUST" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

MingleIFT (2020)

Multi-color and single-molecule fluorescence imaging of intraflagellar transport in the phasmid chemosensory cilia of C. Elegans

Read More  

ToMComputations (2019)

How other minds are represented in the human brain: Neural computations underlying Theory of Mind

Read More  

MIGPSC (2018)

Shaping the European Migration Policy: the role of the security industry

Read More