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Sage2 SIGNED

Percipient Storage for Exascale Data Centric Computing2

Total Cost €

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EC-Contrib. €

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Partnership

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Project "Sage2" 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]
 Total cost 3˙997˙117 €
 EC max contribution 3˙997˙117 € (100%)
 Programme 1. H2020-EU.1.2.2. (FET Proactive)
 Code Call H2020-FETHPC-2017
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2021-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SEAGATE SYSTEMS UK LIMITED UK (HAVANT) coordinator 1˙037˙543.00
2    BULL SAS FR (LES CLAYES SOUS BOIS) participant 513˙062.00
3    KUNGLIGA TEKNISKA HOEGSKOLAN SE (STOCKHOLM) participant 463˙750.00
4    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES FR (PARIS 15) participant 420˙780.00
5    ARM LIMITED UK (CAMBRIDGE) participant 418˙706.00
6    FORSCHUNGSZENTRUM JULICH GMBH DE (JULICH) participant 399˙682.00
7    UNITED KINGDOM ATOMIC ENERGY AUTHORITY UK (ABINGDON) participant 331˙715.00
8    THE UNIVERSITY OF EDINBURGH UK (EDINBURGH) participant 311˙875.00
9    KITWARE SAS FR (VILLEURBANNE) participant 100˙002.00

Map

 Project objective

The landscape for High Performance Computing is changing with the proliferation of enormous volumes of data created by scientific instruments and sensors, in addition to data from simulations. This data needs to be stored, processed and analysed, and existing storage system technologies in the realm of extreme computing need to be adapted to achieve reasonable efficiency in achieving higher scientific throughput. We started on the journey to address this problem with the SAGE project. The HPC use cases and the technology ecosystem is now further evolving and there are new requirements and innovations that are brought to the forefront. It is extremely critical to address them today without “reinventing the wheel” leveraging existing initiatives and know-how to build the pieces of the Exascale puzzle as quickly and efficiently as we can. The SAGE paradigm already provides a basic framework to address the extreme scale data aspects of High Performance Computing on the path to Exascale. Sage2 (Percipient StorAGe for Exascale Data Centric Computing 2) intends to validate a next generation storage system building on top of the already existing SAGE platform to address new use case requirements in the areas of extreme scale computing scientific workflows and AI/deep learning leveraging the latest developments in storage infrastructure software and storage technology ecosystem. Sage2 aims to provide significantly enhanced scientific throughput, improved scalability, and, time & energy to solution for the use cases at scale. Sage2 will also dramatically increase the productivity of developers and users of these systems. This proposal is aligned to FETHPC-02 - 2017:part (c). Sage2 provides a highly performant and resilient, QoS capable multi tiered storage system, with data layouts across the tiers managed by the Mero Object Store, which is capable of handling in-transit/in-situ processing of data within the storage system, accessible through the Clovis API.

 Publications

year authors and title journal last update
List of publications.
2019 Pleiter, Dirk
HPC systems in the next decade - what to expect, when, where
published pages: , ISSN: , DOI: 10.5281/zenodo.3599755
24th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2019, Adelaide, Australia, 2019-11-04 - 2019-11-08 1 2020-04-15
2019 Thomas Leibovici, Florent Monjalet
Predicting File Lifetimes with Machine Learning
published pages: , ISSN: , DOI:
ISC High Performance 2019 International Workshops 2020-04-15
2020 Vaibhav Gogte, William Wang, Stephan Diestelhorst, Peter M. Chen, Satish Narayanasamy, Thomas F. Wenisch
Relaxed Persist Ordering Using Strand Persistency
published pages: , ISSN: , DOI:
ISCA \'20: Proceedings of the 47th International Symposium on Computer Architecture 2020-04-15
2019 Witt, Shaun de; Samaddar, Debby; Narasimhamurthy, Sai; Umanesan, Ganesan; Pleiter, Dirk; El Sayed Mohamed, Salem; Davis, Andrew
Sage2 - Percipient StorAGe for Exascale Data Centric Computing
published pages: , ISSN: , DOI:
24th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2019, Adelaide, Australia, 2019-11-04 - 2019-11-08 1 2020-04-15
2019 Aasheesh Kolli, Vaibhav Gogte, Ali Saidi, Stephan Diestelhorst, William Wang, Peter M. Chen, Satish Narayanasamy, Thomas F. Wenisch
Language Support for Memory Persistency
published pages: 94-102, ISSN: 0272-1732, DOI: 10.1109/mm.2019.2910821
IEEE Micro 39/3 2020-04-15
2019 Vaibhav Gogte, University of Michigan; William Wang and Stephan Diestelhorst, ARM; Aasheesh Kolli, Pennsylvania State University and VMware Research; Peter M. Chen, Satish Narayanasamy, and Thomas F. Wenisch, University of Michigan
Software Wear Management for Persistent Memories
published pages: , ISSN: , DOI:
17th USENIX Conference on File and Storage Technologies (FAST 19) 2020-04-15

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