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DEEP-EST SIGNED

DEEP - Extreme Scale Technologies

Total Cost €

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EC-Contrib. €

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Partnership

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 DEEP-EST project word cloud

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

integration    architects    six    modules    network    proven    analytics    valuable    architecture    msa    create    connects    run    data    respective    centres    software    supporting    clustered    potentially    highest    size    extended    solution    designed    ompss    workloads    drive    substantial    matching    module    scheduling    offers    flexibility    mpi    significantly    resource    providers    exascale    brings    time    first    technologies    efficiency    innovative    purpose    domains    close    ideal    heterogeneous    parallel    single    interconnects    est    modular    exactly    employ    er    cluster    utilisation    prototype    scalability    programming    full    supercomputer    hpda    models    booster    throughput    benefits    spirit    incarnation    extreme    hpc    straightforward    integrates    performance    energy    compute    mixes    apis    enhanced    projections    running    actual    federated    combined    co    deep    class    serving    combining    workflows   

Project "DEEP-EST" 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]
 Project website http://www.deep-projects.eu
 Total cost 15˙365˙546 €
 EC max contribution 14˙998˙342 € (98%)
 Programme 1. H2020-EU.1.2.2. (FET Proactive)
 Code Call H2020-FETHPC-2016
 Funding Scheme RIA
 Starting year 2017
 Duration (year-month-day) from 2017-07-01   to  2021-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FORSCHUNGSZENTRUM JULICH GMBH DE (JULICH) coordinator 3˙183˙961.00
2    MEGWARE COMPUTER VERTRIEB UND SERVICE GMBH DE (Chemnitz) participant 4˙236˙097.00
3    EXTOLL GMBH DE (MANNHEIM) participant 1˙651˙590.00
4    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) participant 1˙076˙250.00
5    BAYERISCHE AKADEMIE DER WISSENSCHAFTEN DE (MUENCHEN) participant 1˙032˙528.00
6    INTEL DEUTSCHLAND GMBH DE (NEUBIBERG) participant 866˙440.00
7    STICHTING NEDERLANDSE WETENSCHAPPELIJK ONDERZOEK INSTITUTEN NL (UTRECHT) participant 410˙747.00
8    EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH CH (GENEVA 23) participant 380˙082.00
9    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. DE (MUNCHEN) participant 372˙258.00
10    THE UNIVERSITY OF EDINBURGH UK (EDINBURGH) participant 326˙238.00
11    KATHOLIEKE UNIVERSITEIT LEUVEN BE (LEUVEN) participant 323˙707.00
12    HASKOLI ISLANDS IS (REYKJAVIK) participant 312˙860.00
13    NORGES MILJO-OG BIOVITENSKAPLIGE UNIVERSITET NO (AS) participant 310˙591.00
14    RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG DE (HEIDELBERG) participant 299˙201.00
15    "ASSOCIATION ""NATIONAL CENTRE FOR SUPERCOMPUTING APPLICATIONS" BG (SOFIA) participant 215˙787.00
16    STICHTING ASTRON, NETHERLANDS INSTITUTE FOR RADIO ASTRONOMY NL (DWINGELOO) participant 0.00

Map

 Project objective

The DEEP-EST (“DEEP - Extreme Scale Technologies”) project will create a first incarnation of the Modular Supercomputer Architecture (MSA) and demonstrate its benefits. In the spirit of the DEEP and DEEP-ER projects, the MSA integrates compute modules with different performance characteristics into a single heterogeneous system. Each module is a parallel, clustered system of potentially large size. A federated network connects the module-specific interconnects. MSA brings substantial benefits for heterogeneous applications/workflows: each part can be run on an exactly matching system, improving time to solution and energy use. This is ideal for supercomputer centres running heterogeneous application mixes (higher throughput and energy efficiency). It also offers valuable flexibility to the compute providers, allowing the set of modules and their respective size to be tailored to actual usage.

The DEEP-EST prototype will include three modules: general purpose Cluster Module and Extreme Scale Booster supporting the full range of HPC applications, and Data Analytics Module specifically designed for high-performance data analytics (HPDA) workloads. Proven programming models and APIs from HPC (combining MPI and OmpSs) and HPDA will be extended and combined with a significantly enhanced resource management and scheduling system to enable straightforward use of the new architecture and achieve highest system utilisation and performance. Scalability projections will be given up to the Exascale performance class. The DEEP-EST prototype will be defined in close co-design between applications, system software and system component architects. Its implementation will employ European integration, network and software technologies. Six ambitious and highly relevant European applications from HPC and HPDA domains will drive the co-design, serving to evaluate the DEEP EST prototype and demonstrate the benefits of its innovative Modular Supercomputer Architecture.

 Deliverables

List of deliverables.
Initial application analysis and models Documents, reports 2019-11-22 12:05:27
Prototype programming environment implementation Other 2019-11-22 12:05:19
Policy briefing Documents, reports 2019-11-22 12:05:26
Tests for prototype assessment Documents, reports 2019-11-22 12:05:14
DEEP-EST benchmark suites Documents, reports 2019-10-07 17:12:48
Quality control plan Documents, reports 2019-10-07 17:12:48
Application use cases and traces Other 2019-10-07 17:12:47
Collection of software requirements Documents, reports 2019-10-07 17:12:47
Software specification Documents, reports 2019-10-07 17:12:47
Design and specification of programming environment Documents, reports 2019-10-07 17:12:47
Application distribution strategy Documents, reports 2019-10-07 17:12:48
Communication plan, toolkit and owned channels Documents, reports 2019-10-07 17:12:47
Repository for training material Other 2019-10-07 17:12:47
Application co-design input Documents, reports 2019-10-07 17:12:47

Take a look to the deliverables list in detail:  detailed list of DEEP-EST deliverables.

 Publications

year authors and title journal last update
List of publications.
2018 Diego Gonzalez-Herrero, Elisabetta Boella, Giovanni Lapenta
Performance analysis and implementation details of the Energy Conserving Semi-Implicit Method code (ECsim)
published pages: 162-169, ISSN: 0010-4655, DOI: 10.1016/j.cpc.2018.03.020
Computer Physics Communications 229 2019-10-09
2018 Suarez, Estela; Eicker, Norbert; Lippert, Thomas
Supercomputing Evolution at JSC
published pages: , ISSN: , DOI:
Jülich : John von Neumann Institute for Computing, Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series, 49, 1 - 12 (2018). 1 2019-10-07
2018 E. Erlingsson, G. Cavallaro, M. Riedel, H. Neukirchen
Scaling DBSCAN towards exascale computing for clustering of big data sets
published pages: , ISSN: , DOI:
Abstract at European Geosciences Union (EGU) General Assembly 2018. Geophysical Research Abstracts Vol. 20 2019-10-07
2018 Robin Pauli, Philipp Weidel, Susanne Kunkel, Abigail Morrison
Reproducing Polychronization: A Guide to Maximizing the Reproducibility of Spiking Network Models
published pages: , ISSN: 1662-5196, DOI: 10.3389/fninf.2018.00046
Frontiers in Neuroinformatics 12 2019-10-07
2018 A. Kreuzer, N. Eicker, J. Amaya, R. Léger, E. Suarez
The DEEP-ER project: I/O and resiliency extensions for the Cluster-Booster architecture
published pages: 109 - 116, ISSN: , DOI:
Proceedings of the 20th International Conference on High Performance Computing and Communications (HPCC), Exeter, UK (June 2018) 2019-10-07
2019 Stefan Krieg, Thomas Luu, Johann Ostmeyer, Philippos Papaphilippou, Carsten Urbach
Accelerating Hybrid Monte Carlo simulations of the Hubbard model on the hexagonal lattice
published pages: 15-25, ISSN: 0010-4655, DOI: 10.1016/j.cpc.2018.10.008
Computer Physics Communications 236 2019-10-07
2018 Cavallaro, Gabriele; Erlingsson, Ernir; Riedel, Morris; Neukirchen, Helmut
Enhancing Remote Sensing Applications towards Exascalewith the DEEP-EST Modular Supercomputer Architecture
published pages: , ISSN: , DOI:
Phi-week - ESA, Frascati, Italy, 2018-11-12 - 2018-11-16 1 2019-10-07

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