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Robust SIGNED

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

Total Cost €

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EC-Contrib. €

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Partnership

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 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.

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

Project "Robust" data sheet

The following table provides information about the project.

Coordinator
SORBONNE UNIVERSITE 

Organization address
address: 21 RUE DE L'ECOLE DE MEDECINE
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

 Partnership

Take a look of project's partnership.

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

Map

 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.

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

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