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SAGE

SAGE

Total Cost €

0

EC-Contrib. €

0

Partnership

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 SAGE project word cloud

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

usability    tools    generations    meteorology    instance    object    projecting    provides    representative    analytics    exploding    sciences    efficiency    alignment    significantly    volumes    persistent    validating    solid    sides    first    systemic    storage    spanning    designing    clean    remote    big    smaller    converged    supporting    models    hierarchy    hardware    integral    transfer    domains    sophisticated    demonstrated    simulation    roadmap    drastically    output    will    suitability    salient    co    islands    power    intelligent    exascale    exabyte    resilience    nodes    earth    media    scientific    compute    deployment    technologies    data    intention    energy    generation    vision    dramatically    software    worldwide    performance    sage    programming    sea    scaling    advancements    uniting    flow    hpc    disc    tier    movements    infrastructure    capability    physics    effectiveness    communities    combined    evaluation    model    tiered    efficient    minimized    extreme    computational   

Project "SAGE" data sheet

The following table provides information about the project.

Coordinator
SEAGATE SYSTEMS UK LIMITED 

Organization address
address: LANGSTONE ROAD
city: HAVANT
postcode: PO9 1SA
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 United Kingdom [UK]
 Project website http://www.sagestorage.eu
 Total cost 7˙882˙531 €
 EC max contribution 7˙882˙531 € (100%)
 Programme 1. H2020-EU.1.2.2. (FET Proactive)
 Code Call H2020-FETHPC-2014
 Funding Scheme RIA
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2018-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SEAGATE SYSTEMS UK LIMITED UK (HAVANT) coordinator 2˙649˙139.00
2    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES FR (PARIS 15) participant 974˙245.00
3    BULL SAS FR (LES CLAYES SOUS BOIS) participant 916˙900.00
4    FORSCHUNGSZENTRUM JULICH GMBH DE (JULICH) participant 711˙260.00
5    DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH DE (KAISERSLAUTERN) participant 702˙828.00
6    ARM LIMITED UK (CAMBRIDGE) participant 595˙910.00
7    KUNGLIGA TEKNISKA HOEGSKOLAN SE (STOCKHOLM) participant 501˙875.00
8    DIAMOND LIGHT SOURCE LIMITED UK (DIDCOT) participant 248˙750.00
9    UNITED KINGDOM ATOMIC ENERGY AUTHORITY UK (ABINGDON) participant 248˙750.00
10    UNITED KINGDOM RESEARCH AND INNOVATION UK (SWINDON) participant 248˙240.00
11    ALLINEA SOFTWARE LIMITED UK (WARWICK) participant 84˙633.00
12    SCIENCE AND TECHNOLOGY FACILITIES COUNCIL UK (SWINDON) participant 0.00

Map

 Project objective

Worldwide data volumes are exploding and islands of storage remote from compute will not scale. We will demonstrate the first instance of intelligent data storage, uniting data processing and storage as two sides of the same rich computational model. This will enable sophisticated, intention-aware data processing to be integrated within a storage systems infrastructure, combined with the potential for Exabyte scale deployment in future generations of extreme scale HPC systems.

Enabling only the salient data to flow in and out of compute nodes, from a sea of devices spanning next generation solid state to low performance disc we enable a vision of a new model of highly efficient and effective HPC and Big Data demonstrated through the SAGE project.

Objectives - Provide a next-generation multi-tiered object-based data storage system (hardware and enabling software) supporting future-generation multi-tier persistent storage media supporting integral computational capability, within a hierarchy. - Significantly improve overall scientific output through advancements in systemic data access performance and drastically reduced data movements. - Provides a roadmap of technologies supporting data access for both Exascale/Exabyte and High Performance Data Analytics. - Provide programming models, access methods and support tools validating their usability, including ‘Big-Data’ access and analysis methods - Co-Designing and validating on a smaller representative system with earth sciences, meteorology, clean energy, and physics communities - Projecting suitability for extreme scaling through simulation based on evaluation results.

Call Alignment: We address storage data access with optimised systems for converged Big Data and HPC use, in a co-design process with scientific partners and applications from many domains. System effectiveness and power efficiency are dramatically improved through minimized data transfer, with extreme scaling and resilience.

 Deliverables

List of deliverables.
Object Storage Integrity Checking : Concept and Architecture Report Documents, reports 2019-12-05 16:13:14
First Review Dissemination, Collaboration and Exploitation Report and Future Plans Documents, reports 2019-12-05 16:13:15
Project Website Websites, patent fillings, videos etc. 2019-12-05 16:13:14
Analysis framework (Sub-) System Architecture Documents, reports 2019-12-05 16:13:14
Interim Review Dissemination, Collaboration and Exploitation Report and Future Plans Documents, reports 2019-12-05 16:13:14
Global address space concepts for Percipient Storage Documents, reports 2019-12-05 16:13:14
State of the art of I/O with MPI and gap analysis Documents, reports 2019-12-05 16:13:14
Performance Profiling & Debugging Tools for SAGE: Concept and Architecture Report Documents, reports 2019-12-05 16:13:14
Report on Percipient Storage run-time system architecture Documents, reports 2019-12-05 16:13:14
Initial Project Dissemination Material Websites, patent fillings, videos etc. 2019-12-05 16:13:14
Analysis framework Requirements specification Documents, reports 2019-12-05 16:13:15
Initial Dissemination and Exploitation Plan Documents, reports 2019-12-05 16:13:14
Report on implementation of SAGE visualisation support Documents, reports 2019-12-05 16:13:14
Final Review Dissemination, Collaboration and Exploitation Report Documents, reports 2019-12-05 16:13:14
Validation Report: Message passing & global address space for Data Centric Computing Documents, reports 2019-12-05 16:13:14
Analysis framework Interface specification Documents, reports 2019-12-05 16:13:14
Performance Profiling & Debugging Tools for SAGE: Final Validation report Documents, reports 2019-12-05 16:13:14

Take a look to the deliverables list in detail:  detailed list of SAGE deliverables.

 Publications

year authors and title journal last update
List of publications.
2016 Jonathan Hollocombe, Shaun de Witt, Rob Akers
Soft real-time analysis of ITER magnetics streaming data using SPECTRE
published pages: , ISSN: , DOI:
Fusion Engineering and Design 2019-12-05
2017 Peng, I. B., Markidis, S., Kestor, G., Cicotti, P., Laure, E., & Gioiosa, R.
Exploring the Performance Benefit of Hybrid Memory System on HPC Environments
published pages: , ISSN: , DOI:
ASHES workshop at IPDPS 2017 2019-12-05
2016 Peng, I. B., Markidis, S., Laure, E., Kestor, G., & Gioiosa, R
Idle Period Propagation in Message-Passing Applications
published pages: , ISSN: , DOI:
HPCC 2016 2019-12-05
2016 Peng, I. B., Markidis, S., Laure, E., Kestor, G., & Gioiosa, R
Exploring Application Performance on Emerging Hybrid-Memory Supercomputers
published pages: , ISSN: , DOI:
HPCC 2016 2019-12-05
2016 Stefano Markidis, Ivy Bo Peng, Roman Iakymchuk, Erwin Laure, Gokcen Kestor, Roberto Gioiosa
A Performance Characterization of Streaming Computing on Supercomputers
published pages: 98-107, ISSN: 1877-0509, DOI: 10.1016/j.procs.2016.05.301
Procedia Computer Science 80 2019-12-05
2016 Ivan Lupelli, Shaun de Witt, Jonathan Hollocombe, David Muir, Rob Akers
Preemptive Data Distribution Infrastructure for Data Centric Analysis and Modelling
published pages: , ISSN: , DOI:
Fusion Engineering and Design 2019-12-05
2017 Sebastian Dorok, Sebastian Breß, Jens Teubner, Horstfried Läpple, Gunter Saake, Volker Markl
Efficient Storage and Analysis of Genome Data in Databases
published pages: , ISSN: , DOI:
17th Conference on Database Systems for Business, Technology, and Web (BTW) 2019-12-05
2015 Sebastian Breß, Henning Funke, and Jens Teubner
Robust Query Processing in Co-Processor-accelerated Databasesbust Query Processing in Co-Processor-accelerated Databases.
published pages: , ISSN: , DOI:
SIGMOD 2019-12-05
2017 Rivas-Gomez, S., Peng, I.B., Markidis, S., Laure, E., Kestor, G., Gioiosa, R. .
Extending message passing interface windows to storage
published pages: , ISSN: , DOI:
CCGrid2017 2019-12-05
2018 Ivy Bo Peng, Roberto Gioiosa, Gokcen Kestor, Jeffrey S. Vetter, Pietro Cicotti, Erwin Laure, Stefano Markidis
Characterizing the performance benefit of hybrid memory system for HPC applications
published pages: 57-69, ISSN: 0167-8191, DOI: 10.1016/j.parco.2018.04.007
Parallel Computing 76 2019-12-05
2016 L M Evans, J D Arregui-Mena, P M Mummery, R Akers, E Surrey, A Shterenlikht, M Broggi, L Margetts
Use of massively parallel computing to improve modelling accuracy within the nuclear sector
published pages: , ISSN: 1750-9548, DOI: 10.21152/1750-9548.10.2.215
The International Journal of Multiphysics 10/2 2019-12-05
2017 Jonathan Hollocombe, Shaun de Witt, Ivan Lupelli, David Muir, Rob Akers
Soft real-time analysis of ITER magnetics streaming data using SPECTRE
published pages: 869-872, ISSN: 0920-3796, DOI: 10.1016/j.fusengdes.2017.03.113
Fusion Engineering and Design 123 2019-12-05
2016 Salman Habib, Joe Insley, David Daniel, Patricia Fasel, Zarija Lukić, Vitali Morozov, Nicholas Frontiere, Hal Finkel, Adrian Pope, Katrin Heitmann, Kalyan Kumaran, Venkatram Vishwanath, Tom Peterka
HACC
published pages: 97-104, ISSN: 0001-0782, DOI: 10.1145/3015569
Communications of the ACM 60/1 2019-12-05
2015 Daniel A. Reed, Jack Dongarra
Exascale computing and big data
published pages: 56-68, ISSN: 0001-0782, DOI: 10.1145/2699414
Communications of the ACM 58/7 2019-12-05
2016 Nikita Danilov, Nathan Rutman, Sai Narasimhamurthy and John Bent
Mero: Co-Designing an Object Store for Extreme Scale
published pages: , ISSN: , DOI:
2019-12-05
2017 Martin Kiefer, Max Heimel, Sebastian Bress, Volker Markl
Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models
published pages: , ISSN: 2150-8097, DOI:
Proceedings of the 43rd International Conference on Very Large Data Bases, Munich, Germany 2019-12-05

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