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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. €

0

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.

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

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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