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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.

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

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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