enabling leading energy efficient, ultra high dense and
TRANSCRIPT
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1 * Other names and brands may be claimed as the property of others. Copyright © 2009, Intel Corporation.
Enabling Leading Energy Efficient, Ultra High
Dense and Large Scale Supercomputing towards Exascale
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2 * Other names and brands may be claimed as the property of others. Copyright © 2009, Intel Corporation.
Outline
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3 * Other names and brands may be claimed as the property of others. Copyright © 2009, Intel Corporation.
Specialization. Since 2009
Development of innovative ultra-high density
energy efficient HPC solutions
delivering unique features and addressing
specific end-user needs
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4 * Other names and brands may be claimed as the property of others. Copyright © 2009, Intel Corporation.
Strong Market Position
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•Source: Top500.org (November, 2014)
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5 * Other names and brands may be claimed as the property of others. Copyright © 2009, Intel Corporation.
Strong Market Position
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6 * Other names and brands may be claimed as the property of others. Copyright © 2009, Intel Corporation.
HPC Industry Records
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7 * Other names and brands may be claimed as the property of others. Copyright © 2009, Intel Corporation.
Top projects
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8 * Other names and brands may be claimed as the property of others. Copyright © 2009, Intel Corporation.
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South Ural State University
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12 * Other names and brands may be claimed as the property of others. Copyright © 2009, Intel Corporation.
Projects in JSCC RAS and SUSU
“Both SUSU and JSCC RAS are state of the art high performance computing centers with competent staff running the highly ranked Top500 and Green500 powerful and energy efficient supercomputers. The facilities both use RSC Tornado based systems with innovative liquid cooling and newest Intel Xeon Phi coprocessors which provide impressive high performance capabilities and energy efficient solutions to solve very demanding science research and engineering problems.” – said Jack Dongarra, the world famous HPC expert.
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Po
wer a
nd
perfo
rm
an
ce d
en
sit
y
Time
2009-10 35 TFLOPS
52 kW per rack 96 nodes
2011-today 66,3 TFLOPS
Up to 70 kW per rack 128 homogeneous nodes
2012-today 211 TFLOPS
Up to 100 kW per rack 72 heterogeneous nodes
RSC Technology Evolution 2013-today 1.2 PFLOPS
400+ kW per rack 1024 nodes
RSC Tornado
RSC PetaStream
World Record
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Two worlds. State of Art.
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RSC Tornado cluster solution
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RSC Tornado Extensions
= +
• HPC Expansion Pack: up to 2 Co-processors and IB • VDI Expansion Pack: fast PCIe SSD and 3D video • BigData Expansion Pack: enhanced storage,
performance/$ • Security&Protection Expansion Pack • And others…
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World record again
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RSC PetaStream outline
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RSC PetaStream™ Cabinet •
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= 9x
and ½ energy to solution
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Ongoing evaluation
Code/app Developer/ partner
Area/Method
MAGMA MIC ICL University of Tenessee
Dense linear algebra
AstroPhi Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk, Russia
Astrophysics, gas dynamics
GROMACS St-Petersburg Polytechnic
Molecular dynamics
CACTUS University of Lousiana
Astrophysics
GAMESS Chem. Dept. Lomonosov MSU
Quantum Chemistry
Pikador NNSU Patrice-In-Cell
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23 * Other names and brands may be claimed as the property of others. Copyright © 2009, Intel Corporation.
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24 * Other names and brands may be claimed as the property of others. Copyright © 2009, Intel Corporation.
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MAGMA MIC Performance
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MAGMA MIC Performance
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Alexey Shvetsov, FSBI Petersburg Nuclear Physics Institute, NRC Kurchatov Institute, GROMACS Developer
Evgeniy Petukhov, St.Petersburg State Polytechnic University
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Nucleosome and its different assembly states (such as
hexasome, tetrasome) in water (approx. 1M atoms).
Nucleosomes are essential structural and regulatory element for
DNA packaging in eukaryotic cell nuclei.
Such simulations help better understanding of fundamental
mechanisms of gene transcription regulation.
System features: large amount of volume distributed point
charges (~1/6rd of total number of atoms)
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Nucleosome Tetrasome
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Version: 5.1-dev (git master branch) Patches: bitmap (allows arbitrary number of omp threads) Tools and libraries: Intel® Cluster Studio XE 2015 (C, C++, MKL,
MPI) Standard build options
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Being tested on Jaguar RF showed better scalability (up to tens of thousands of cores), but for this case PME gives more performance
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PetaStream drives to Exascale
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