Development of High Performance Computing on the Basis of SSCC and ?? Intel-SB RAS

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Development of High Performance Computing on the
Basis of SSCC and ?? Intel-SB RAS

• B.M. Glinsky, N.V. Kuchin (ICMMG SB RAS)
• V.V. Samofalov (Intel)

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Competence Center (CC) Goals of Creation
CC is being created in accordance with the
Memorandum of Cooperation between SB RAS and
INTEL of June 14, 2007

• Introduction of modern computing technologies
  based on Intel developments and SB RAS
  achievementsinto science and industrial
  production of Siberian region
• Training of organizations of mining industries,
  science, and higher education in modern computing
  technologies based on Intel developments
• Consultations on parallel programming and
  computing services on the basis of SSCC clusters
  (Intel Itanium2 platforms prospects multicore
  Quad-Core Intel Xeon 5300, etc.) on parallel
  supercomputations
• A comparative estimate of the efficiency of Intel
  new developments in the field of technical
  facilities and software on the basis of real
  problems solved in SSCC.

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Important tasks

• Realization of the goals set is of primary
  importance for scientific research and equipment
  of SSCC with modern SW of Intel.
• Of no less importance is the problem of
  performing high-performance computations,
  consulting and computing services of SSCC and
  Novosibirsk Branch of Intel for large industrial
  enterprises of Novosibirsk and Siberian region.
• Another important problem is the support of joint
  projects of Intel with some institutes of SB RAS
  (Institute of Inorganic Chemistry, Institute of
  Semiconductor Physics, Institute of Catalysis).

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Tasks of Intel CC SB RASkey concepts
infrastructure of the Data Processing Center,
blade-solutions, multicore structure, parallel
calculations

• Creation of a community on high-performance
  computing (HPC Community)
• Understanding of real problems of science and
  industry for which high-performance computations
  (development of algorithms and programs,
  industrial calculations, the use of
  commercial/free packages) are necessary
• Providing of computing resources for science,
  higher education, and industry on the basis of
  Intel HWSW
• Consultations and practical assistance in solving
  problems of users
• Participation in the organization of a Siberian
  segment of HPC Grid (Novosibirsk, Tomsk,
  Krasnoyarsk)
• Increasing the practical efficiency of
  high-performance computing facilities of Intel.

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Methods to achieveset goals

• A Siberian SuperComputer Center of Resource
  Sharing (SSCC RS) has been created in SB RAS at
  ICMMG
• Remote access from 22 SB RAS institutes, 3
  universities Competence Center base.
• Possible access from other organizations via
  other communication channels.
• NCS-160 cluster on Itanium2 platform (ICMMG,
  Intel Novo site, HP)
• Pilot version of Intel (8 servers rx1620,
  InfiniBand)
• 82 servers and communication equipment have been
  purchased
• The center development is financed by the
  Presidium of SB RAS, Instrumentation Commission,
  and RFBR grants.
• Joint Seminar of the Department of Computing
  Systems and Networks of ICMMG SB RAS, Computing
  Systems Department of NSU, and Intel Novo in the
  interests of the Competence Center
• Series of seminars-trainings on HPC on SSCC RS
  resources performed by specialists of Intel and
  SSCC for users from SB RAS, universities, and
  industry.

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Creation of Competence CenterExpected Results

• Prompt mastering of a new generation of computing
  technologies will
• Provide Siberian region with new computing
  platforms for effective development of science
  and industry,
• Assist in the realization of joint SB RAS- Intel
  research developments.
• Planned actions will make it possible to
• Train SSCC users in modern technologies of
  high-performance computations,
• Attract users to SSCC not only from institutes of
  SB RAS but also from the industry of Novosibirsk
  and region.

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Some results

• SSCC obtained single-user academic licenses for
  Intel SW
• A Work Group of CC Council consisting of
  representatives from science and industry has
  been created. Chairman RAS Corr. Member B.G.
  Mikhailenko
• An agreement of cooperation of CC with
  SibNefteGeofizika and Chaplygin Siberian
  Research Institute of Aviation in the field of
  high-performance computing has been reached.
• A contract with Schlumberger on the development
  of high-performance computing methods and
  computing services in the interests of oil
  industry has been made.

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SSCC structure
COMPUTING RESOURCES
MVS-1000/32
NCS-160 (Intel)
MVS-1000/128
32 processors.Alpha 21264,833
MHz,Myrinet,FastEthernet,50 GFlops
128 processors.Alpha 21264,667
MHz,Myrinet,FastEthernet,196 GFlops
164processors.Itanium 2,1,6 GHz,InfiniBand,Gig
abitEthernet,??? 1 TFlops
GE
GE
Ethernet GigabitEthernet (GE) FibreChannel
GE
VISUALIZATION SYSTEM
SOFTWARE
DATA STORAGE SYSTEM
2,5 Tbyte,max 3 Tbyte
Disc array ?A8000
Graphics workstation SunBlade 2000
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Tasks of gas-and-oil producing industry(Schlumber
ger)
Modeling of processes of acoustic wave
propagation in the 3D case for problems of
acoustic logging in wells
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Numerical modeling of seismic wave fields in 2D
inhomogeneous elastic media of different scales
(karstic inclusions) (Trofimuk Institute of Oil
and Gas Geology and Geophysics)

• Modeling, with the finite difference method, of
  objects of subseismic scale calculation of wave
  fields emerging on karstic inclusions
• The use of a fine grid for the entire region
  requires large computing power
• Local mesh refinement in zones with subseismic
  inhomogeneities is proposed.

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a)
b)
Horizontal component of the full wave field. a)
Uniform fine meshb) Mesh with local refinement
in the zone of karstic inclusions
b)
a)
Vertical component of the full wave field. a)
Uniform fine meshb) Mesh with local refinement
in the zone of karstic inclusions
The deviation of wave fields from each other is
about 0.1 demands for computational resources
differ by about an order of magnitude
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ITAM SB RAS

• Simulation of flows around
  Progress space ship

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Modeling in a new development of the spaceship
Clipper
ITAM SB RAS
Control effectiveness of the spaceship Clipper
has been investigated. Its aerothermodynamic
parameters at a descent from the orbit to 80 km
have been determined. 3D calculations were made
by the method of 3D statistical Monte Carlo
modeling taking into account chemical
reactions. About 100 hours of MVS 1000/128
processor time were used in the calculations.
Flow density distribution
Pressure distribution
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Processor time distribution of SSCC clusters
(January-December 2007)
Time (CPU hour) Time (CPU hour)
NCS-160 MVS-1000/128
Science 377351,16 84,94 363774,25 91,89
Education 29233,97 6,58 23919,87 6,04
Industry 37692,36 8,48 8177,63 2,07
Total 444277,50 100 395871,75 100
Science SB RAS institutes Education
Universities NSU, NSTU, SSUTI Industry State
Research Center of Virology and Biotechnology
"Vector, Novosibirsk
Technology Center of Schlumberger
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Thank You!