Explore the words cloud of the DEEP-EST project. It provides you a very rough idea of what is the project "DEEP-EST" about.
The following table provides information about the project.
Coordinator |
FORSCHUNGSZENTRUM JULICH GMBH
Organization address contact info |
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 |
Take a look of project's partnership.
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.
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.
year | authors and title | journal | last update |
---|---|---|---|
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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