Dynamical Exascale Entry
Platform: the DEEP Project
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Figure 1:
Sketch of the
DEEP Architecture
(CN=Cluster Node,
BN=Booster Node,
BI=Booster Interface)
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DEEP is one of the three Exascale
projects funded in 2011 by the EU 7th
framework program. The DEEP project
will last three years starting in October
2011 and is developed in a collaboration
constituted by 16 partners from 8
different countries, coordinated by the
Research Centre Jülich. DEEP aims at
developing a prototype Exascale-enabling
supercomputing platform consisting
of two parts: a Cluster part based on
multi-core-chips with InfiniBand interconnect, and a Booster part based on
Intel many-core MIC processors connected through a Terabit EXTOLL network.
This Cluster-Booster Architecture
(Fig. 1) will serve as proof-of-concept
for a next-generation 100 PFlop/s
PRACE production system. Furthermore,
the innovative hot water cooling concept of DEEP has the potential to improve
the power efficiency of HPC systems.
A novel open source system software
stack (Fig. 2) will be developed for cluster
management and resource allocation,
based on the ParaStation cluster management software from ParTec. ParaStationMPI will be extended with communication functions to connect the
Cluster and Booster via InfiniBand and
the interconnection architecture EXTOLL,
developed by the University of Heidelberg.
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Figure 2:
Software layer
for programming
environment
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In addition, the programming environment OmpSs (OpenMP Superscalar) of
the StarSs family from Barcelona
Supercomputing Centre will be ported
to the DEEP System. Adapting mathematical libraries and performance
analysis tools such as Scalasca, provided
by the Jülich Supercomputing Centre,
will complete the platform to program
applications, enabling unprecedented
scalability on millions of cores. Representative HPC application codes from
Health and Biology, Climatology, Seismic
Imaging, Industrial Design, Space
Weather, and Superconductivity will be
optimized on DEEP. The scalability of the
DEEP hardware-software concept shall
be demonstrated with respect to the
generic multi-scale, adaptive grid, and
long-range force parallelization models
underlying the application codes. Altogether, the DEEP concept allows an extrapolation to millions of cores for future
systems, with the potential to achieve
Exascale between 2018 and 2020.
• Estela Suarez Jülich
Supercomputing
Centre
• Norbert Eicker Jülich
Supercomputing
Centre
• Wolfgang Gürich Jülich
Supercomputing
Centre
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