Explore the words cloud of the SAGE project. It provides you a very rough idea of what is the project "SAGE" about.
The following table provides information about the project.
Coordinator |
SEAGATE SYSTEMS UK LIMITED
Organization address contact info |
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 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
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 |
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.
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.
year | authors and title | journal | last update |
---|---|---|---|
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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