The project of application for network computing in seismology --The prototype of SeisGrid Chen HuiZhong, Ze Ren Zhi Ma, Hu Bin Institute.

Slides:

Advertisements

Similar presentations

Prof. Natalia Kussul, PhD. Andrey Shelestov, Lobunets A., Korbakov M., Kravchenko A.

Advertisements

XtreemOS IP project is funded by the European Commission under contract IST-FP XtreemOS: Building and Promoting a Linux-based Operating System.

CGW 08, Kraków, October 13-15th,  Integration of instrumentation and selected applications with e-Infrastructure and maintenance on production.

1 Project overview Presented at the Euforia KoM January, 2008 Marcin Płóciennik, PSNC, Poland.

SALSA HPC Group School of Informatics and Computing Indiana University.

CoreGRID Workpackage 5 Virtual Institute on Grid Information and Monitoring Services Authorizing Grid Resource Access and Consumption Erik Elmroth, Michał.

Slides for Grid Computing: Techniques and Applications by Barry Wilkinson, Chapman & Hall/CRC press, © Chapter 1, pp For educational use only.

6/2/20071 Grid Computing Sun Grid Engine (SGE) Manoj Katwal.

The CrossGrid project Juha Alatalo Timo Koivusalo.

Office of Science U.S. Department of Energy Grids and Portals at NERSC Presented by Steve Chan.

Grid Architecture Grid Canada Certificates International Certificates Grid Canada Issued over 2000 certificates Condor G Resource TRIUMF.

DataGrid Kimmo Soikkeli Ilkka Sormunen. What is DataGrid? DataGrid is a project that aims to enable access to geographically distributed computing power.

Dagstuhl, February 16, 2009 Layers in Grids Uwe Schwiegelshohn 17. Februar 2009 Layers in Grids.

Sergey Belov, Tatiana Goloskokova, Vladimir Korenkov, Nikolay Kutovskiy, Danila Oleynik, Artem Petrosyan, Roman Semenov, Alexander Uzhinskiy LIT JINR The.

Virtualization Concept. Virtualization  Real: it exists, you can see it.  Transparent: it exists, you cannot see it  Virtual: it does not exist, you.

Wireless Grid Computing A Prototype Wireless Grid Grant Gifford Mark Hempstead April 30, 2003.

Grid Information Systems. Two grid information problems Two problems  Monitoring  Discovery We can use similar techniques for both.

Research Achievements Kenji Kaneda. Agenda Research background and goal Research background and goal Overview of my research achievements Overview of.

Tools and Utilities for parallel and serial codes in ENEA-GRID environment CRESCO Project: Salvatore Raia SubProject I.2 C.R. ENEA-Portici. 11/12/2007.

Computing Environment in Chinese Academy of Sciences Dr. Xue-bin Dr. Zhonghua Supercomputing Center Computer Network.

A Lightweight Platform for Integration of Resource Limited Devices into Pervasive Grids Stavros Isaiadis and Vladimir Getov University of Westminster

DISTRIBUTED COMPUTING

Grid Computing - AAU 14/ Grid Computing Josva Kleist Danish Center for Grid Computing

Grid Workload Management & Condor Massimo Sgaravatto INFN Padova.

Grid Technologies  Slide text. What is Grid?  The World Wide Web provides seamless access to information that is stored in many millions of different.

Grid Basics Adarsh Patil

N*Grid – Korean Grid Research Initiative Funded by Government (Ministry of Information and Communication) 5 Years from 2002 to million US$ Including.

Wenjing Wu Computer Center, Institute of High Energy Physics Chinese Academy of Sciences, Beijing BOINC workshop 2013.

Evaluation of Agent Teamwork High Performance Distributed Computing Middleware. Solomon Lane Agent Teamwork Research Assistant October 2006 – March 2007.

10/24/2015OSG at CANS1 Open Science Grid Ruth Pordes Fermilab

SALSA HPC Group School of Informatics and Computing Indiana University.

Resource Brokering in the PROGRESS Project Juliusz Pukacki Grid Resource Management Workshop, October 2003.

Quick Introduction to NorduGrid Oxana Smirnova 4 th Nordic LHC Workshop November 23, 2001, Stockholm.

Service - Oriented Middleware for Distributed Data Mining on the Grid ，劉妘鑏 Antonio C., Domenico T., and Paolo T. Journal of Parallel and Distributed.

Issues Autonomic operation (fault tolerance) Minimize interference to applications Hardware support for new operating systems Resource management (global.

Introduction to Grid Computing Ed Seidel Max Planck Institute for Gravitational Physics

SEEK Welcome Malcolm Atkinson Director 12 th May 2004.

Ames Research CenterDivision 1 Information Power Grid (IPG) Overview Anthony Lisotta Computer Sciences Corporation NASA Ames May 2,

Institute For Digital Research and Education Implementation of the UCLA Grid Using the Globus Toolkit Grid Center’s 2005 Community Workshop University.

NATIONAL PARTNERSHIP FOR ADVANCED COMPUTATIONAL INFRASTRUCTURE Capability Computing - User Environment Anke Kamrath Associate Director, SDSC

1 Media Grid Initiative By A/Prof. Bu-Sung Lee, Francis Nanyang Technological University.

GRIDS Center Middleware Overview Sandra Redman Information Technology and Systems Center and Information Technology Research Center National Space Science.

GRID Overview Internet2 Member Meeting Spring 2003 Sandra Redman Information Technology and Systems Center and Information Technology Research Center National.

The Integrated Project of Digital Seismological Observation Network Centre in IGP, CEA Institute of Geophysics China Earthquake Administration 2006,7,22.

EVGM081 Multi-Site Virtual Cluster: A User-Oriented, Distributed Deployment and Management Mechanism for Grid Computing Environments Takahiro Hirofuchi,

Ruth Pordes November 2004TeraGrid GIG Site Review1 TeraGrid and Open Science Grid Ruth Pordes, Fermilab representing the Open Science.

Enabling e-Research in Combustion Research Community T.V Pham 1, P.M. Dew 1, L.M.S. Lau 1 and M.J. Pilling 2 1 School of Computing 2 School of Chemistry.

Internet2 AdvCollab Apps 1 Access Grid Vision To create virtual spaces where distributed people can work together. Challenges:

TeraGrid Gateway User Concept – Supporting Users V. E. Lynch, M. L. Chen, J. W. Cobb, J. A. Kohl, S. D. Miller, S. S. Vazhkudai Oak Ridge National Laboratory.

1 Grid Activity Summary » Grid Testbed » CFD Application » Virtualization » Information Grid » Grid CA.

Alain Roy Computer Sciences Department University of Wisconsin-Madison Condor & Middleware: NMI & VDT.

EGEE-III INFSO-RI Enabling Grids for E-sciencE EGEE and gLite are registered trademarks Enabling the use of e-Infrastructures with.

International Symposium on Grid Computing (ISGC-07), Taipei - March 26-29, 2007 Of 16 1 A Novel Grid Resource Broker Cum Meta Scheduler - Asvija B System.

Globus and PlanetLab Resource Management Solutions Compared M. Ripeanu, M. Bowman, J. Chase, I. Foster, M. Milenkovic Presented by Dionysis Logothetis.

By Chi-Chang Chen.  Cluster computing is a technique of linking two or more computers into a network (usually through a local area network) in order.

Construction of Computational Segment at TSU HEPI Erekle Magradze Zurab Modebadze.

GraDS MacroGrid Carl Kesselman USC/Information Sciences Institute.

Università di Perugia Enabling Grids for E-sciencE Status of and requirements for Computational Chemistry NA4 – SA1 Meeting – 6 th April.

1 Καστοριά Μάρτιος 13, 2009 Efficient Service Task Assignment in Grid Computing Environments Dr Angelos Michalas Technological Educational Institute of.

INRNE's participation in LCG Elena Puncheva Preslav Konstantinov IT Department.

Group # 14 Dhairya Gala Priyank Shah. Introduction to Grid Appliance The Grid appliance is a plug-and-play virtual machine appliance intended for Grid.

1 Sammie Carter Department of Computer Science N.C. State University November 18, 2004

PARALLEL AND DISTRIBUTED PROGRAMMING MODELS U. Jhashuva 1 Asst. Prof Dept. of CSE om.

EGEE is a project funded by the European Union under contract IST Generic Applications Requirements Roberto Barbera NA4 Generic Applications.

INTRODUCTION TO GRID & CLOUD COMPUTING U. Jhashuva 1 Asst. Professor Dept. of CSE.

Building on virtualization capabilities for ExTENCI Carol Song and Preston Smith Rosen Center for Advanced Computing Purdue University ExTENCI Kickoff.

CNAF - 24 September 2004 EGEE SA-1 SPACI Activity Italo Epicoco.

Towards a High Performance Extensible Grid Architecture Klaus Krauter Muthucumaru Maheswaran {krauter,

Clouds , Grids and Clusters

Ruslan Fomkin and Tore Risch Uppsala DataBase Laboratory

Presentation transcript:

The project of application for network computing in seismology --The prototype of SeisGrid Chen HuiZhong, Ze Ren Zhi Ma, Hu Bin Institute of Earthquake Science, BeiJing, China July,2006

The project of application for network computing in seismology is under the Program of infrastructure platform for science and technology, which is authorized by Ministry of Science and Technology China.

The Program is divided into 5 parts, one of 5 is “Environment of network for science and technology “. This project is under “Environment of network for science and technology “. The project is named The SeisGrid also.

Cited

SeisGrid SeisGrid is a platform to aggregate computing resources across distributed locations and administrative boundaries of institutes for coordinated computations for various applications

Why CEA SeisGrid? Aggregating computing resources across geometrically distributed locations and administrative boundaries Increasing resource utilization and sharing Enabling the computing environment for the problems in earthquake prediction ; Seismological data and Resource sharing

CEA SeisGrid Main Task Build earthquake scientific computing grid Develop earthquake simulation module for grid software environment Promote earthquake simulation module in Grid Community Grid applications

Topology of prototype for SeisGrid

Software Infrastructure OS: GNU/Linux Distribution: RedHat, Fedora Compiler: GNU GCC C Library: glibc 2.3 Grid Middleware: Globus toolkit MPI: MPICH-G2

High Performance Cluster Dawning 4000A －－－ 9 nodes Total number of processors: 18 Total number of nodes: 9 CPU: AMD OPERTORN 240 OS: Linux Installation: 2003

Benefits of Clustering Easy to build High Performance (HP) High Availability (HA) scalable Cheap

Current Status Grid Portal Web-based job submission Real time monitoring Broker allocates computing resource Inter-cluster parallel computation

Parallel Earthquake Modules 1. Load/Unload Response Ratio (LURR) (finished) 2.Numerical simulation of crustal stress on China mainland (finished) 3.InSAR(Interferometric Synthetic Aperture Radar) forward modeling (finished) 4.Other 4 modules on Earthquake Location and Virtual Observation ( ongoing)

Work Flow

Project Webpage

Account Administration Node Administration Job Administration

Load/Unload Response Ratio

InSAR Forward Modeling

Numerical simulation of crustal stress on China mainland

SeisGrid Supporting Platform

The prototype of SeisGrid is an experimental system of CEA In the near future it is planning to develop more application software and install more powerful computer Open to scientists for earthquakes science research.