Chemistry GRID and its application for air pollution forecast Computer and Automation Research Institute of the Hungarian Academy of Sciences (MTA SZTAKI)

Slides:

Advertisements

Similar presentations

UPGRADE BS-SCENE Up-Grade Black Sea scientific network (INFRA) ENVIROGRIDS Building Capacity for a Black Sea Catchment Observation and Assessment (Environment)

Advertisements

ER-flow Purpose of the meeting C. Vuerli Contributions by G. Terstyanszky.

PROFORCE Bridging of Probabilistic Forecasts and Civil Protection Yong Wang, Clemens Wastl, Franziska Strauss (ZAMG)

Hungrid A Possible Distributed Computing Platform for Hungarian Fusion Research Szabolcs Hernáth MTA KFKI RMKI EFDA RP Workshop.

FUTURE TECHNOLOGIES Lecture 13.  In this lecture we will discuss some of the important technologies of the future  Autonomic Computing  Cloud Computing.

1 Development of Virtual Supercomputer Service using Academic Network

Introduction to Grids and Grid applications Gergely Sipos MTA SZTAKI

Hungarian GRID Projects and Cluster Grid Initiative P. Kacsuk MTA SZTAKI

Visual Solution to High Performance Computing Computer and Automation Research Institute Laboratory of Parallel and Distributed Systems

Cracow Grid Workshop November 5-6 Support System of Virtual Organization for Flood Forecasting L. Hluchy, J. Astalos, V.D. Tran, M. Dobrucky and G.T. Nguyen.

The LHC Computing Grid – February 2008 The Worldwide LHC Computing Grid Dr Ian Bird LCG Project Leader 15 th April 2009 Visit of Spanish Royal Academy.

Is 'Designing' Cyberinfrastructure - or, Even, Defining It - Possible? Peter A. Freeman National Science Foundation January 29, 2007 The views expressed.

PREV ’AIR : An operational system for air quality monitoring and forecasting Laurence ROUÏL.

CSC Grid Activities Arto Teräs HIP Research Seminar February 18th 2005.

GRID technology by SZTAKI MTA SZTAKI Laboratory of Parallel and Distributed Systems

Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill Technology Education Copyright © 2006 by The McGraw-Hill Companies,

Manasa Guduru Sai Prasanth Sridhar Malini srinivasan Sinduja Narasimhan Reference: Aymerich, F. M., Fenu, G., & Surcis, S. (2008). An approach to a cloud.

THE AFFORDABLE SUPERCOMPUTER HARRISON CARRANZA APARICIO CARRANZA JOSE REYES ALAMO CUNY – NEW YORK CITY COLLEGE OF TECHNOLOGY ECC Conference 2015 – June.

1 18 April 2002 Recent developments of the Hungarian Academic and Research Network István Tétényi dr., Hungarnet/NIIF, Hungary

Application Software.

Hungarian Supercomputing GRID

SZTAKI Desktop Grid – a Hierarchical Desktop Grid System P. Kacsuk, A. Marosi, J. Kovacs, Z. Balaton, G. Gombas, G. Vida, A. Kornafeld MTA SZTAKI

INFSO-RI SZTAKI’s Exploitation plan AHM meeting Budapest, 23 June 2009 Peter Kacsuk, Robert Lovas MTA SZTAKI.

1 Application of multiprocessor and GRID technology in medical image processing IKTA /2002.

Cluster Programming Technology and its Application in Meteorology Computer and Automation Research Institute Hungarian Academy of Sciences Hungarian Meteorological.

Computer and Automation Research Institute Hungarian Academy of Sciences Presentation and Analysis of Grid Performance Data Norbert Podhorszki and Peter.

INFSO-RI Enabling Grids for E-sciencE NA3 progress at SZTAKI Peter Kacsuk MTA SZTAKI Computer and Automation Research Institute.

Computer and Automation Research Institute Hungarian Academy of Sciences Automatic checkpoint of CONDOR-PVM applications by P-GRADE Jozsef Kovacs, Peter.

Chapter 1 Intro to Computer Department of Computer Engineering Khon Kaen University.

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

The Grid System Design Liu Xiangrui Beijing Institute of Technology.

WS-PGRADE portal and its usage in the CancerGrid project M. Kozlovszky, P. Kacsuk Computer and Automation Research Institute of the Hungarian Academy of.

MTA SZTAKI Department of Distributed Systems The problems of persistent identifiers in the context of the National Digital Data Archives of Hungary András.

1 M. Tudruj, J. Borkowski, D. Kopanski Inter-Application Control Through Global States Monitoring On a Grid Polish-Japanese Institute of Information Technology,

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.

Pascucci-1 Valerio Pascucci Director, CEDMAV Professor, SCI Institute & School of Computing Laboratory Fellow, PNNL Massive Data Management, Analysis,

ARGONNE NATIONAL LABORATORY Climate Modeling on the Jazz Linux Cluster at ANL John Taylor Mathematics and Computer Science & Environmental Research Divisions.

Grid Middleware Tutorial / Grid Technologies IntroSlide 1 /14 Grid Technologies Intro Ivan Degtyarenko ivan.degtyarenko dog csc dot fi CSC – The Finnish.

EGEE-II INFSO-RI Enabling Grids for E-sciencE EGEE and gLite are registered trademarks Next steps with EGEE Gergely Sipos

Chapter 2 Introduction to Systems Architecture. Chapter goals Discuss the development of automated computing Describe the general capabilities of a computer.

BalticGrid-II Project The Second BalticGrid-II All-Hands Meeting, Riga, May, Joint Research Activity Enhanced Application Services on Sustainable.

Models-3 Users’ Workshop 2003 Research Triangle Park, NC Computational Chemodynamics Laboratory EOHSI - Exposure Measurement & Assessment Division Evaluating.

National and regional activities for environment observations Natalya Shulgina Uzhydromet World Environmental Day Round Table GEO CBC7 Meeting 5 June,

02/06/2014, ESRF – Grenoble Potential connections to e-Infrastructure projects …focusing on science gateways and volunteer computing Robert Lovas Institute.

FORTH/ICE-HT Foundation for Research and Technology, Hellas Institute of Chemical Engineering and High Temperature Chemical Processes A brief review

CS591x -Cluster Computing and Parallel Programming

Data Management for Decision Support Session-4 Prof. Bharat Bhasker.

11 January 2005 High Performance Computing at NCAR Tom Bettge Deputy Director Scientific Computing Division National Center for Atmospheric Research Boulder,

11/15/04PittGrid1 PittGrid: Campus-Wide Computing Environment Hassan Karimi School of Information Sciences Ralph Roskies Pittsburgh Supercomputing Center.

Scientific Gateway for Academic Grid Malaysia Group Name: ZenFone Munirah binti Kassim Ana Farhanah binti Omar Siti Syahirah binti.

The Hungarian ClusterGRID Project Péter Stefán research associate NIIF/HUNGARNET

1 Porting applications to the NGS, using the P-GRADE portal and GEMLCA Peter Kacsuk MTA SZTAKI Hungarian Academy of Sciences Centre for.

Collaborative Tools for the Grid V.N Alexandrov S. Mehmood Hasan.

27/10/2006, Catania EGEE Industry Day Filling the gaps: Advanced Grid portal and desktop grid technologies for industry Robert Lovas MTA SZTAKI Laboratory.

SCI-BUS is supported by the FP7 Capacities Programme under contract nr RI Accessing cloud resources through the WS-PGRADE/gUSE and CloudBroker integrated.

© 2007 IBM Corporation IBM Software Strategy Group IBM Google Announcement on Internet-Scale Computing (“Cloud Computing Model”) Oct 8, 2007 IBM Confidential.

Reading e-Science Centre Technical Director Jon Blower ESSC Director Rachel Harrison CS Director Keith Haines ESSC Associated Personnel External Collaborations.

Introduction to Grid and Grid applications Peter Kacsuk MTA SZTAKI

NIIF HPC services for research and education

INTRODUCTION The economies of ALL developed nations are dependent on software. More and more systems are software controlled Software engineering is concerned.

Clouds , Grids and Clusters

NA3 Activities (until April 2005)

Grid Computing.

Bulgaria’s research landscape and the context of CERN collaboration

Austria, Czech Republic, Hungary, Poland, Slovakia

CICC Combines Grid Computing with Chemical Informatics

SDM workshop Strawman report History and Progress and Goal.

Work Programme 2012 COOPERATION Theme 6 Environment (including climate change) Challenge 6.4 Protecting citizens from environmental hazards European.

DEGISCO project - Desktop Grids for application developers and users

Defining the Grid Fabrizio Gagliardi EMEA Director Technical Computing

Presentation transcript:

Chemistry GRID and its application for air pollution forecast Computer and Automation Research Institute of the Hungarian Academy of Sciences (MTA SZTAKI) Hungarian Meteorological Service (OMSZ) Institute of Chemistry, Chemical Research Center of the Hungarian Academy of Sciences (MTA KKI) Department of Physical Chemistry, Eötvös University (ELTE FKT)

Chemistry GRID and its application for air pollution forecast Research area: Grid systems  Interconnection of geographically distributed and high performance or large number of resources to solve complex problems Interne t

Chemistry GRID and its application for air pollution forecast Hungarian Cluster Grid (Ministry of Education)  2002 : 42 PC Linux clusters with 882 PCs  2003 : 99 PC Linux clusters with 2079 PCs 2.5 Gb/s Internet

Chemistry GRID and its application for air pollution forecast Goals of the joint project  GRID, as a distributed system built to support a specific scientific area  Chemistry GRID  GRID, as a distributed supercomputing system  Parallel execution of chemical applications  GRID, as a distributed IT system for supporting complex collaborative work  technical preparation: forecast of air pollution, smag warning plans

Chemistry GRID and its application for air pollution forecast Goals I: Chemistry GRID  Strong collaboration with SYMBEX (EU COST) project  Establishment of an integrated international metalaboraty, and development of common chemistry software systems  5 chemist and 5 IT partners from 6 countries MTA SZTAKI, MTA KKKI  P-GRADE system (MTA SZTAKI): common tool for the parallelisation of applications  Task: integration of P-GRADE in SYMBEX Grid  Hungarian chemical programs, which are parallelised in P- GRADE, will be capable to run on SYMBEX Grid  Hungarian chemists will be able to access to the SYMBEX Grid

Chemistry GRID and its application for air pollution forecast Parallelisation of programs: P-GRADE (MTA SZTAKI)  Integrated graphical program development environment  Efficient parallelisation of sequential programs  Support for each stage of development life- cycle  design  execution  debugging  performance analysis

Chemistry GRID and its application for air pollution forecast P-GRADE programs on the entire range of distributed systems Super- computers 2100 Clusters Grid GFlops Mainframes P-GRADE

Chemistry GRID and its application for air pollution forecast Goals II: Supercomputing Grid  Tasks:  parallelisation of specific chemical applications by means of P-GRADE development environment:  modelling: kinetics/dynamics of elementary reactions (MTA KKKI)  modelling of reaction-diffusion systems with sophisticated chemical mechanisms – calculation of air pollution (ELTE FKT)  Further development of P-GRADE to support Grid applications:  Migration of applications in the Grid  Development of efficient information system for handling of grid resources

Chemistry GRID and its application for air pollution forecast Migration in Grid m0m1 P-GRADE GUI Szeged Budapest n0n1 Miskolc 1 P-GRADE program downloaded to Miskolc cluster 2 P-GRADE program runs at the Miskolc cluster Miskolc cluster overloaded => checkpointing 3 P-GRADE program migrates to Budapest 4 P-GRADE program runs at the Budapest cluster

Chemistry GRID and its application for air pollution forecast Goals III: Complex collaborative application  Task:  Forecast of air pollution in Hungary Modelling of air polluted atmosphere by parallel applications – ozone near to surface (ELTE FKT, MTA KKKI, MTA SZTAKI) Integration to meteorological forecasting program (OMSZ)  EU directive on the measurement of surface ozone: obligatory short-range forecasting information providing to resident population

Chemistry GRID and its application for air pollution forecast Application for air pollution forecast  Execution  Short-range forecast - operative running (OMSZ) supercomputer (IBM Regatta) co-operating with ALADIN meteorological forecast model  Technical preparation of smog warning plans Running on the grid  larger computational capacity Simulation of the former smog events and analysis of the efficiency of smog alarm plans Demonstration project for the further complex Grid applications

Chemistry GRID and its application for air pollution forecast Application for air pollution forecast  Distribution of ozone near to surface  Aug  Potential users  environmental authorities  local governments  media

Chemistry GRID and its application for air pollution forecast Summary  Goals:  Chemistry GRID co-operation with SYMBEX (EU COST) project  Application development for Chemistry GRID P-GRADE parallel development environment  Further development of P-GRADE for execution of Grid program Migration of applications in Grid Grid resource information system  Complex collaborative application: air pollution forecast in Hungary distribution of ozone near to surface level