PARIS*: Programming parallel and distributed systems for large scale numerical simulation applications. Christine Morin IRISA/INRIA
|
|
- Michael Greene
- 7 years ago
- Views:
Transcription
1 PARIS*: Programming parallel and distributed systems for large scale numerical simulation applications Kerrighed, Vigne Christine Morin IRISA/INRIA * Common project with CNRS, ENS-Cachan, INRIA, INSA, Université de Rennes 1
2 Members of PARIS Project (sept 05) Scientific leader T. Priol (DR INRIA) Researchers F. André (Prof IFSIC) G. Antoniu (CR INRIA) J-P. Banâtre (Prof IFSIC) M. Bertier (MdC INSA) L. Bougé (Prof ENS) Y. Jégou (CR INRIA) A-M. Kermarrec (DR INRIA) C. Morin (DR INRIA) J.L. Pazat (MdC INSA) C. Perez (CR INRIA) Post-docs A. Viana A. Ribes G. Vallée Engineers D. Margery (IR INRIA) P. Morillon (IE IFSIC) Engineers P. Gallard (DGA) V. Lefèvre (G5K - IFSIC) R. Lottiaux (DGA) G. Mornet (G5K - PRIR) P. Palosaari (CoreGRID) J. Parpaillon (Ing. Associé) PhD candidates H-L. Bouziane (INRIA 2) J. Buisson (MENRT 3) Y. Busnel (ENS 1) L. Cudennec (INRIA-Région 1) M. Fertré (MENRT 1) M. Jan (MENRT 3) E. Jeanvoine (CIFRE 2) S. Lacour (INRIA 3) E. Le Merrer (CIFRE FT) S. Monnet (INRIA-Région 3) Y. Radenac (MENRT 3) E. Riviere (MENRT 2) L. Rilling (ENS 3)
3 Studied Systems Clusters A set of interconnected PC used as a single computing resource Grid A set of resources (processor, memory, disk, ) interconnected via Internet P2P systems A dynamic distributed system without any global state
4 Research Directions Single system image operating system Problem: clusters are difficult to program/use Challenge: to give the illusion that a cluster is a single machine Component based middleware Problème: code coupling applications are complex Challenge: How to facilitate the design of such applications while providing high performance? Advanced programming models Problème: Current programming models are not adequate for highly dynamic systems Challenge: How to express computing/coordination is such an environement? Data sharing service Problème: data sharing in large scale grids Challenge: sharing mutable data Systèmes P2P Problème: Master and optimize a P2P system Challenge: Characterize a P2P system and searching relevant information Experimental grid platform Problème: Need to experiment to validate our research results Challenge: building a reconfigurable grid
5 Grid 5000 Experimental Platform Contribution to the construction of Grid sites, 5000 processors Rennes site 500 processors (powerpc, Xeon, Opteron) Dual processor nodes Participants Researcher: Y. Jégou Engineers: V. Lefèvre, D. Margery, P. Morrillon, G. Mornet Grid-5000 Rennes
6 International Collaborations (funded) Cluster OS University of Ulm (Germany), ORNL (USA), Rutgers University (USA) Grids Pisa University (Italy), SNU (Korea) Large scale data management UIUC (USA) P2P systems Vrije Universiteit (The Netherlands)
7 OS for Clusters and Grids Kerrighed Single System Image (SSI) operating system for high performance computing on clusters Vigne Operating system to ease the use and programming of grids
8 Kerrighed Objectives Virtual shared memory multiprocessor Global and transparent resource management Tolerating node failures transparently for the applications High performance Approach Design of distributed OS mechanisms within an existing OS (Linux)
9 Kerrighed Achievements Customizable efficient full SSI operating system for high performance computing on clusters Small clusters (up to 256 nodes) Advanced research prototype Integration of the work of 3 Ph.D. students (R. Lottiaux (2001), Geoffroy Vallée (2004), P. Gallard (2004)) Robust prototype able to execute real applications provided by EDF R&D and DGA Open source software Stable version (K V1.0.2) based on Linux Demo LiveCD based on Knoppix kerrighed.users@irisa.fr integrated in OSCAR ssi-oscar.irisa.fr OSCAR is a snapshot of methods for building, programming, and using clusters. It consists of a fully integrated and easy to install software bundle designed for high performance cluster computing.
10 Efficient Operating System Comparison with other SSI for clusters OpenSSI, openmosix Results published in CC-GRID 2005 Internship of Benoît Boissinot Efficient communication system Highly reactive communication system to support Kerrighed distributed operating system services Compatibility of Kerrighed with efficient communication drivers used by HPC applications (such as GM for Myrinet)
11 Collaborations EDF R& D (since 2000) PhD and post-doc grants DGA ( ) Funding for research engineers ORNL (S. Scott) Integration of Kerrighed in OSCAR University of Ulm (M. Schöttner) Fault tolerant SDSM University of Rutgers (L. Iftode) High availability Invited researchers R. Badrinath (IIT Kharagpur) Isaac Scherson (UCI)
12 Current Research Directions Fault tolerance Large scale parallel application checkpointing System initiated checkpoints Checkpointing grid applications Master & PhD Thesis of Matthieu Fertré High availability Current work of Pascal Gallard and Renaud Lottiaux Tolerating hot node addition and eviction Phenix Investigating the backdoor approach in the context of Kerrighed Master Thesis of Benoît Boissinot Application SSI cluster OS Node 1 Node 2 Node 3
13 Technology Transfer KerLabs ( Start-up funded by Pascal Gallard and Renaud Lottiaux Software suite based on Kerrighed technologies EasyAdmin: Global cluster management EasyCheckpoint: Checkpoint/restart of parallel applications EasyRun: Application deployment & scheduling on clusters EasyCluster: the whole Kerrighed SSI solution Optimized support for high performance networking technologies Open source model
14 Vigne: a Grid OS Design and implementation of a Grid OS to ease the use and programming of very large grids Highly decentralized system Algorithms based on local knowledge Self-healing system Dealing with multiple quasi-simultaneous reconfigurations Single System Image Flexible system
15 Vigne Infrastructure based on decentralized overlays Structured and unstructured overlays Application manager for reliable application execution Resource discovery & allocation service On-going work (PhD Thesis of Emmanuel Jeanvoine) Volatile data sharing service PhD Thesis of Louis Rilling Complex application deployment PhD Thesis of Boris Daix (co-advised with Christian Pérez) To start beginning of 2006
16 Collaborations EDF R&D PhD grants
17 Future Work XtreemOS Project Integrated Project (FP6 - Call 5) Goal Under evaluation Building and Promoting a Linux-based Operating System to Support Virtual Organisations for Next Generation Grids 18 partners Academic & industrial partners 8 countries (including China)
18 XtreemOS Main Objectives We will design, implement, evaluate and distribute an open source Grid OS with native support for virtual organizations. Development of a Grid Operating System Enhance Linux to support VO across multiple administrative domains Manage very large and Self-organizing and selfhealing system Available on PC, SMP, clusters, PDA and mobile phones XtreemOS software: 3 flavours Standard flavour for PC Federation flavour based on Kerrighed SD flavour for small devices XtreemOS software will make the VO management easy for administrators and work, within VOs, easy, secure and efficient. Application Appli Appli Appli Middleware Experimentation and evaluation with a comprehensive set of real usecases provided by ISVs and endusers Linux Computer Linux Computer XtreemOS Linux Computer Linux Computer Integration in notorious Linux distributions Mandriva, Red Flag Linux Building a reference open source Grid OS
19 Talks Kerrighed Pascal Gallard Matthieu Fertré Vigne Emmanuel Jeanvoine JuxMem Sébastien Monnet
Kerrighed / XtreemOS cluster flavour
Kerrighed / XtreemOS cluster flavour Jean Parpaillon Reisensburg Castle Günzburg, Germany July 5-9, 2010 July 6th, 2010 Kerrighed - XtreemOS cluster flavour 1 Summary Kerlabs Context Kerrighed Project
More informationGhost Process: a Sound Basis to Implement Process Duplication, Migration and Checkpoint/Restart in Linux Clusters
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE Ghost Process: a Sound Basis to Implement Process Duplication, Migration and Checkpoint/Restart in Linux Clusters Geoffroy Vallée, Renaud
More informationIs Virtualization Killing SSI Research?
Is Virtualization Killing SSI Research? Jérôme Gallard, Geoffroy Vallée, Adrien Lèbre, Christine Morin, Pascal Gallard and Stephen L. Scott Aug, 26th Outline Context Cluster BS/SSI Virtualization Combining
More informationP U B L I C A T I O N I N T E R N E 1656 OPENMOSIX, OPENSSI AND KERRIGHED: A COMPARATIVE STUDY
I R I P U B L I C A T I O N I N T E R N E 656 N o S INSTITUT DE RECHERCHE EN INFORMATIQUE ET SYSTÈMES ALÉATOIRES A OPENMOSIX, OPENSSI AND KERRIGHED: A COMPARATIVE STUDY RENAUD LOTTIAUX, BENOIT BOISSINOT,
More informationGAMoSe: An Accurate Monitoring Service For Grid Applications
GAMoSe: An Accurate ing Service For Grid Applications Thomas Ropars, Emmanuel Jeanvoine, Christine Morin # IRISA/Paris Research group, Université de Rennes 1, EDF R&D, # INRIA {Thomas.Ropars,Emmanuel.Jeanvoine,Christine.Morin}@irisa.fr
More informationP U B L I C A T I O N I N T E R N E 1669 CAPABILITIES FOR PER PROCESS TUNING OF DISTRIBUTED OPERATING SYSTEMS
I R I P U B L I C A T I O N I N T E R N E 1669 N o S INSTITUT DE RECHERCHE EN INFORMATIQUE ET SYSTÈMES ALÉATOIRES A CAPABILITIES FOR PER PROCESS TUNING OF DISTRIBUTED OPERATING SYSTEMS DAVID MARGERY, RENAUD
More informationP U B L I C A T I O N I N T E R N E 1704 SSI-OSCAR: A CLUSTER DISTRIBUTION FOR HIGH PERFORMANCE COMPUTING USING A SINGLE SYSTEM IMAGE
I R I P U B L I C A T I O N I N T E R N E 1704 N o S INSTITUT DE RECHERCHE EN INFORMATIQUE ET SYSTÈMES ALÉATOIRES A SSI-OSCAR: A CLUSTER DISTRIBUTION FOR HIGH PERFORMANCE COMPUTING USING A SINGLE SYSTEM
More informationXtreemOS : des grilles aux nuages informatiques
XtremOS tutorial on security XtreemOS : des grilles aux nuages informatiques Christine Morin Myriads research team INRIA Rennes-Bretagne Atlantique XtreemOS scientific coordinator Séminaire IN Tech - Virtualisation
More informationDistributed System Monitoring and Failure Diagnosis using Cooperative Virtual Backdoors
Distributed System Monitoring and Failure Diagnosis using Cooperative Virtual Backdoors Benoit Boissinot E.N.S Lyon directed by Christine Morin IRISA/INRIA Rennes Liviu Iftode Rutgers University Phenix
More informationIs Virtualization Killing SSI Research?
Is Virtualization Killing SSI Research? Jérôme Gallard Paris Project-Team Dinard November 2007 Supervisor : Christine Morin Co-supervisor: Adrien Lèbre My subject! ;) Reliability and performance of execution
More informationA Monitoring Tool to Manage the Dynamic Resource Requirements of a Grid Data Sharing Service
A Monitoring Tool to Manage the Dynamic Resource Requirements of a Grid Data Sharing Service Voichiţa Almăşan Voichita.Almasan@irisa.fr Supervisors : Gabriel Antoniu, Luc Bougé {Gabriel.Antoniu,Luc.Bouge}@irisa.fr
More informationDistributed Operating Systems. Cluster Systems
Distributed Operating Systems Cluster Systems Ewa Niewiadomska-Szynkiewicz ens@ia.pw.edu.pl Institute of Control and Computation Engineering Warsaw University of Technology E&IT Department, WUT 1 1. Cluster
More informationThe Advantages and Disadvantages of a Standard Data Storage System
Databases: towards performance and scalability Bibliographical study Silviu-Marius Moldovan mariusmoldovan@gmail.com Supervisors: Gabriel Antoniu, Luc Bougé {Gabriel.Antoniu,Luc.Bouge}@irisa.fr INSA, IFSIC,
More informationSecurity of Information Systems hosted in Clouds: SLA Definition and Enforcement in a Dynamic Environment
Security of Information Systems hosted in Clouds: SLA Definition and Enforcement in a Dynamic Environment Christine Morin Inria Joint work with Louis Rilling (DGA-MI), Anna Giannakou (Inria), Jean-Louis
More informationXtreemOS and Cloud Computing Alvaro Arenas E-Science Centre Science and Technologies Facilities Council, UK XtreemOS in a Nutshell An open source Linux-based Grid Operating System with native VO support
More informationDeliverable D2.2. Resource Management Systems for Distributed High Performance Computing
Resource Management Systems for Distributed High Performance Computing VERSION Version 1.1 DATE February 4, 2011 EDITORIAL MANAGER Yann Radenac (Yann.Radenac@inria.fr) AUTHORS STAFF Yann Radenac IRISA/INRIA,
More informationWork in Progress on Cloud Computing in Myriads Team and Contrail European Project Christine Morin, Inria
Potential collaboration talk Work in Progress on Cloud Computing in Myriads Team and Contrail European Project Christine Morin, Inria Design and implementation of autonomous distributed systems Internet
More informationArchitectural Review of Load Balancing Single System Image
Journal of Computer Science 4 (9): 752-761, 2008 ISSN 1549-3636 2008 Science Publications Architectural Review of Load Balancing Single System Image Bestoun S. Ahmed, Khairulmizam Samsudin and Abdul Rahman
More informationSimple Introduction to Clusters
Simple Introduction to Clusters Cluster Concepts Cluster is a widely used term meaning independent computers combined into a unified system through software and networking. At the most fundamental level,
More informationEnergy efficiency in HPC :
Energy efficiency in HPC : A new trend? A software approach to save power but still increase the number or the size of scientific studies! 19 Novembre 2012 The EDF Group in brief A GLOBAL LEADER IN ELECTRICITY
More informationCellular Computing on a Linux Cluster
Cellular Computing on a Linux Cluster Alexei Agueev, Bernd Däne, Wolfgang Fengler TU Ilmenau, Department of Computer Architecture Topics 1. Cellular Computing 2. The Experiment 3. Experimental Results
More informationKerrighed: use cases. Cyril Brulebois. Kerrighed. Kerlabs
Kerrighed: use cases Cyril Brulebois cyril.brulebois@kerlabs.com Kerrighed http://www.kerrighed.org/ Kerlabs http://www.kerlabs.com/ 1 / 23 Introducing Kerrighed What s Kerrighed? Single-System Image (SSI)
More informationDeploying Clusters at Electricité de France. Jean-Yves Berthou
Electricit é Deploying Clusters at Workshop Operating Systems, Tools and Methods for High Performance Computing on Linux Clusters Jean-Yves Berthou Head of the Applied Scientific Computing Group EDF R&D
More informationEfficient Load Balancing using VM Migration by QEMU-KVM
International Journal of Computer Science and Telecommunications [Volume 5, Issue 8, August 2014] 49 ISSN 2047-3338 Efficient Load Balancing using VM Migration by QEMU-KVM Sharang Telkikar 1, Shreyas Talele
More informationRessources management and runtime environments in the exascale computing era
Ressources management and runtime environments in the exascale computing era Guillaume Huard MOAIS and MESCAL INRIA Projects CNRS LIG Laboratory Grenoble University, France Guillaume Huard MOAIS and MESCAL
More informationFlauncher and DVMS Deploying and Scheduling Thousands of Virtual Machines on Hundreds of Nodes Distributed Geographically
Flauncher and Deploying and Scheduling Thousands of Virtual Machines on Hundreds of Nodes Distributed Geographically Daniel Balouek, Adrien Lèbre, Flavien Quesnel To cite this version: Daniel Balouek,
More informationPhantomOS: A Next Generation Grid Operating System
PhantomOS: A Next Generation Grid Operating System Irfan Habib 2, Kamran Soomro 2, Ashiq Anjum 1, Richard McClatchey 1, Arshad Ali 2, Peter Bloodsworth 1 1 CCS Research Centre, University of the West of
More informationBox Leangsuksun+ * Thammasat University, Patumtani, Thailand # Oak Ridge National Laboratory, Oak Ridge, TN, USA + Louisiana Tech University, Ruston,
N. Saragol * Hong Ong# Box Leangsuksun+ K. Chanchio* * Thammasat University, Patumtani, Thailand # Oak Ridge National Laboratory, Oak Ridge, TN, USA + Louisiana Tech University, Ruston, LA, USA Introduction
More informationEIT ICT Labs MASTER SCHOOL DSS Programme Specialisations
EIT ICT Labs MASTER SCHOOL DSS Programme Specialisations DSS EIT ICT Labs Master Programme Distributed System and Services (Cloud Computing) The programme in Distributed Systems and Services focuses on
More informationMulti-core Curriculum Development at Georgia Tech: Experience and Future Steps
Multi-core Curriculum Development at Georgia Tech: Experience and Future Steps Ada Gavrilovska, Hsien-Hsin-Lee, Karsten Schwan, Sudha Yalamanchili, Matt Wolf CERCS Georgia Institute of Technology Background
More informationClient/Server Computing Distributed Processing, Client/Server, and Clusters
Client/Server Computing Distributed Processing, Client/Server, and Clusters Chapter 13 Client machines are generally single-user PCs or workstations that provide a highly userfriendly interface to the
More informationAppro Supercomputer Solutions Best Practices Appro 2012 Deployment Successes. Anthony Kenisky, VP of North America Sales
Appro Supercomputer Solutions Best Practices Appro 2012 Deployment Successes Anthony Kenisky, VP of North America Sales About Appro Over 20 Years of Experience 1991 2000 OEM Server Manufacturer 2001-2007
More informationnanohub.org An Overview of Virtualization Techniques
An Overview of Virtualization Techniques Renato Figueiredo Advanced Computing and Information Systems (ACIS) Electrical and Computer Engineering University of Florida NCN/NMI Team 2/3/2006 1 Outline Resource
More informationScheduling and Resource Management in Computational Mini-Grids
Scheduling and Resource Management in Computational Mini-Grids July 1, 2002 Project Description The concept of grid computing is becoming a more and more important one in the high performance computing
More informationLarge Scale Management of Virtual Machines Cooperative and Reactive Scheduling in Large-Scale Virtualized Platforms
Large Scale Management of Virtual Machines Cooperative and Reactive Scheduling in Large-Scale Virtualized Platforms Adrien Lèbre EPI ASCOLA / HEMERA Flavien Quesnel, Phd Candidate February 2013 System
More informationWrite a technical report Present your results Write a workshop/conference paper (optional) Could be a real system, simulation and/or theoretical
Identify a problem Review approaches to the problem Propose a novel approach to the problem Define, design, prototype an implementation to evaluate your approach Could be a real system, simulation and/or
More informationMPI / ClusterTools Update and Plans
HPC Technical Training Seminar July 7, 2008 October 26, 2007 2 nd HLRS Parallel Tools Workshop Sun HPC ClusterTools 7+: A Binary Distribution of Open MPI MPI / ClusterTools Update and Plans Len Wisniewski
More informationUsing the Windows Cluster
Using the Windows Cluster Christian Terboven terboven@rz.rwth aachen.de Center for Computing and Communication RWTH Aachen University Windows HPC 2008 (II) September 17, RWTH Aachen Agenda o Windows Cluster
More informationWindows Compute Cluster Server 2003. Miron Krokhmal CTO
Windows Compute Cluster Server 2003 Miron Krokhmal CTO Agenda The Windows compute cluster architecture o Hardware and software requirements o Supported network topologies o Deployment strategies, including
More information1 Bull, 2011 Bull Extreme Computing
1 Bull, 2011 Bull Extreme Computing Table of Contents HPC Overview. Cluster Overview. FLOPS. 2 Bull, 2011 Bull Extreme Computing HPC Overview Ares, Gerardo, HPC Team HPC concepts HPC: High Performance
More informationSelf-Adapting Load Balancing for DNS
Self-Adapting Load Balancing for DNS Jo rg Jung, Simon Kiertscher, Sebastian Menski, and Bettina Schnor University of Potsdam Institute of Computer Science Operating Systems and Distributed Systems Before
More informationPARALLEL & CLUSTER COMPUTING CS 6260 PROFESSOR: ELISE DE DONCKER BY: LINA HUSSEIN
1 PARALLEL & CLUSTER COMPUTING CS 6260 PROFESSOR: ELISE DE DONCKER BY: LINA HUSSEIN Introduction What is cluster computing? Classification of Cluster Computing Technologies: Beowulf cluster Construction
More informationLinux clustering. Morris Law, IT Coordinator, Science Faculty, Hong Kong Baptist University
Linux clustering Morris Law, IT Coordinator, Science Faculty, Hong Kong Baptist University PII 4-node clusters started in 1999 PIII 16 node cluster purchased in 2001. Plan for grid For test base HKBU -
More informationEnabling Large-Scale Testing of IaaS Cloud Platforms on the Grid 5000 Testbed
Enabling Large-Scale Testing of IaaS Cloud Platforms on the Grid 5000 Testbed Sébastien Badia, Alexandra Carpen-Amarie, Adrien Lèbre, Lucas Nussbaum Grid 5000 S. Badia, A. Carpen-Amarie, A. Lèbre, L. Nussbaum
More informationHigh Performance Computing. Course Notes 2007-2008. HPC Fundamentals
High Performance Computing Course Notes 2007-2008 2008 HPC Fundamentals Introduction What is High Performance Computing (HPC)? Difficult to define - it s a moving target. Later 1980s, a supercomputer performs
More informationComputing in High- Energy-Physics: How Virtualization meets the Grid
Computing in High- Energy-Physics: How Virtualization meets the Grid Yves Kemp Institut für Experimentelle Kernphysik Universität Karlsruhe Yves Kemp Barcelona, 10/23/2006 Outline: Problems encountered
More informationClusters: Mainstream Technology for CAE
Clusters: Mainstream Technology for CAE Alanna Dwyer HPC Division, HP Linux and Clusters Sparked a Revolution in High Performance Computing! Supercomputing performance now affordable and accessible Linux
More informationCluster, Grid, Cloud Concepts
Cluster, Grid, Cloud Concepts Kalaiselvan.K Contents Section 1: Cluster Section 2: Grid Section 3: Cloud Cluster An Overview Need for a Cluster Cluster categorizations A computer cluster is a group of
More informationFig. 3. PostgreSQL subsystems
Development of a Parallel DBMS on the Basis of PostgreSQL C. S. Pan kvapen@gmail.com South Ural State University Abstract. The paper describes the architecture and the design of PargreSQL parallel database
More informationLinuxWorld Conference & Expo Server Farms and XML Web Services
LinuxWorld Conference & Expo Server Farms and XML Web Services Jorgen Thelin, CapeConnect Chief Architect PJ Murray, Product Manager Cape Clear Software Objectives What aspects must a developer be aware
More informationVirtualization for Cloud Computing
Virtualization for Cloud Computing Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF CLOUD COMPUTING On demand provision of computational resources
More informationSoftware services competence in research and development activities at PSNC. Cezary Mazurek PSNC, Poland
Software services competence in research and development activities at PSNC Cezary Mazurek PSNC, Poland Workshop on Actions for Better Participation of New Member States to FP7-ICT Timişoara, 18/19-03-2010
More informationAgenda. HPC Software Stack. HPC Post-Processing Visualization. Case Study National Scientific Center. European HPC Benchmark Center Montpellier PSSC
HPC Architecture End to End Alexandre Chauvin Agenda HPC Software Stack Visualization National Scientific Center 2 Agenda HPC Software Stack Alexandre Chauvin Typical HPC Software Stack Externes LAN Typical
More informationTowards the Magic Green Broker Jean-Louis Pazat IRISA 1/29. Jean-Louis Pazat. IRISA/INSA Rennes, FRANCE MYRIADS Project Team
Towards the Magic Green Broker Jean-Louis Pazat IRISA 1/29 Jean-Louis Pazat IRISA/INSA Rennes, FRANCE MYRIADS Project Team Towards the Magic Green Broker Jean-Louis Pazat IRISA 2/29 OUTLINE Clouds and
More informationVirtualization with Windows
Virtualization with Windows at CERN Juraj Sucik, Emmanuel Ormancey Internet Services Group Agenda Current status of IT-IS group virtualization service Server Self Service New virtualization features in
More informationVirtual machine interface. Operating system. Physical machine interface
Software Concepts User applications Operating system Hardware Virtual machine interface Physical machine interface Operating system: Interface between users and hardware Implements a virtual machine that
More informationVirtualization of a Cluster Batch System
Virtualization of a Cluster Batch System Christian Baun, Volker Büge, Benjamin Klein, Jens Mielke, Oliver Oberst and Armin Scheurer Die Kooperation von Cluster Batch System Batch system accepts computational
More informationSoftware Distributed Shared Memory Scalability and New Applications
Software Distributed Shared Memory Scalability and New Applications Mats Brorsson Department of Information Technology, Lund University P.O. Box 118, S-221 00 LUND, Sweden email: Mats.Brorsson@it.lth.se
More informationHPC performance applications on Virtual Clusters
Panagiotis Kritikakos EPCC, School of Physics & Astronomy, University of Edinburgh, Scotland - UK pkritika@epcc.ed.ac.uk 4 th IC-SCCE, Athens 7 th July 2010 This work investigates the performance of (Java)
More informationUsing an MPI Cluster in the Control of a Mobile Robots System
Using an MPI Cluster in the Control of a Mobile Robots System Mohamed Salim LMIMOUNI, Saïd BENAISSA, Hicham MEDROMI, Adil SAYOUTI Equipe Architectures des Systèmes (EAS), Laboratoire d Informatique, Systèmes
More informationUniversity of Huddersfield Repository
University of Huddersfield Repository Gubb, David, Holmes, Violeta, Kureshi, Ibad, Liang, Shuo and James, Yvonne Implementing a Condor pool using a Green-IT policy Original Citation Gubb, David, Holmes,
More informationStorage Virtualization from clusters to grid
Seanodes presents Storage Virtualization from clusters to grid Rennes 4th october 2007 Agenda Seanodes Presentation Overview of storage virtualization in clusters Seanodes cluster virtualization, with
More informationThe Lattice Project: A Multi-Model Grid Computing System. Center for Bioinformatics and Computational Biology University of Maryland
The Lattice Project: A Multi-Model Grid Computing System Center for Bioinformatics and Computational Biology University of Maryland Parallel Computing PARALLEL COMPUTING a form of computation in which
More informationHigh Performance Applications over the Cloud: Gains and Losses
High Performance Applications over the Cloud: Gains and Losses Dr. Leila Ismail Faculty of Information Technology United Arab Emirates University leila@uaeu.ac.ae http://citweb.uaeu.ac.ae/citweb/profile/leila
More informationAn Oracle White Paper. Oracle Database Appliance X4-2
An Oracle White Paper Oracle Database Appliance X4-2 Introduction The Oracle Database Appliance X4-2 is the 3rd generation of the Oracle Database Appliance. It is an Oracle Engineered System consisting
More informationGUEST OPERATING SYSTEM BASED PERFORMANCE COMPARISON OF VMWARE AND XEN HYPERVISOR
GUEST OPERATING SYSTEM BASED PERFORMANCE COMPARISON OF VMWARE AND XEN HYPERVISOR ANKIT KUMAR, SAVITA SHIWANI 1 M. Tech Scholar, Software Engineering, Suresh Gyan Vihar University, Rajasthan, India, Email:
More informationImproved LS-DYNA Performance on Sun Servers
8 th International LS-DYNA Users Conference Computing / Code Tech (2) Improved LS-DYNA Performance on Sun Servers Youn-Seo Roh, Ph.D. And Henry H. Fong Sun Microsystems, Inc. Abstract Current Sun platforms
More informationHadoop on the Gordon Data Intensive Cluster
Hadoop on the Gordon Data Intensive Cluster Amit Majumdar, Scientific Computing Applications Mahidhar Tatineni, HPC User Services San Diego Supercomputer Center University of California San Diego Dec 18,
More informationCluster Grid Interconects. Tony Kay Chief Architect Enterprise Grid and Networking
Cluster Grid Interconects Tony Kay Chief Architect Enterprise Grid and Networking Agenda Cluster Grid Interconnects The Upstart - Infiniband The Empire Strikes Back - Myricom Return of the King 10G Gigabit
More informationBig Data Management in the Clouds and HPC Systems
Big Data Management in the Clouds and HPC Systems Hemera Final Evaluation Paris 17 th December 2014 Shadi Ibrahim Shadi.ibrahim@inria.fr Era of Big Data! Source: CNRS Magazine 2013 2 Era of Big Data! Source:
More informationLSKA 2010 Survey Report Job Scheduler
LSKA 2010 Survey Report Job Scheduler Graduate Institute of Communication Engineering {r98942067, r98942112}@ntu.edu.tw March 31, 2010 1. Motivation Recently, the computing becomes much more complex. However,
More informationBulk Synchronous Programmers and Design
Linux Kernel Co-Scheduling For Bulk Synchronous Parallel Applications ROSS 2011 Tucson, AZ Terry Jones Oak Ridge National Laboratory 1 Managed by UT-Battelle Outline Motivation Approach & Research Design
More informationBlobSeer: Towards efficient data storage management on large-scale, distributed systems
: Towards efficient data storage management on large-scale, distributed systems Bogdan Nicolae University of Rennes 1, France KerData Team, INRIA Rennes Bretagne-Atlantique PhD Advisors: Gabriel Antoniu
More informationData Sharing Options for Scientific Workflows on Amazon EC2
Data Sharing Options for Scientific Workflows on Amazon EC2 Gideon Juve, Ewa Deelman, Karan Vahi, Gaurang Mehta, Benjamin P. Berman, Bruce Berriman, Phil Maechling Francesco Allertsen Vrije Universiteit
More informationSupercomputing Resources in BSC, RES and PRACE
www.bsc.es Supercomputing Resources in BSC, RES and PRACE Sergi Girona, BSC-CNS Barcelona, 23 Septiembre 2015 ICTS 2014, un paso adelante para la RES Past RES members and resources BSC-CNS (MareNostrum)
More informationVery Large Enterprise Network, Deployment, 25000+ Users
Very Large Enterprise Network, Deployment, 25000+ Users Websense software can be deployed in different configurations, depending on the size and characteristics of the network, and the organization s filtering
More informationPERFORMANCE ANALYSIS OF KERNEL-BASED VIRTUAL MACHINE
PERFORMANCE ANALYSIS OF KERNEL-BASED VIRTUAL MACHINE Sudha M 1, Harish G M 2, Nandan A 3, Usha J 4 1 Department of MCA, R V College of Engineering, Bangalore : 560059, India sudha.mooki@gmail.com 2 Department
More informationI R I S A P U B L I C A T I O N I N T E R N E PROVIDING QOS IN A GRID APPICATION MONITORING SERVICE THOMAS ROPARS, EMMANUEL JEANVOINE, CHRISTINE MORIN
I R I P U B L I C A T I O N I N T E R N E N o 1831 S INSTITUT DE RECHERCHE EN INFORMATIQUE ET SYSTÈMES ALÉATOIRES A PROVIDING QOS IN A GRID APPICATION MONITORING SERVICE THOMAS ROPARS, EMMANUEL JEANVOINE,
More informationBlobSeer: Enabling Efficient Lock-Free, Versioning-Based Storage for Massive Data under Heavy Access Concurrency
BlobSeer: Enabling Efficient Lock-Free, Versioning-Based Storage for Massive Data under Heavy Access Concurrency Gabriel Antoniu 1, Luc Bougé 2, Bogdan Nicolae 3 KerData research team 1 INRIA Rennes -
More informationREM-Rocks: A Runtime Environment Migration Scheme for Rocks based Linux HPC Clusters
REM-Rocks: A Runtime Environment Migration Scheme for Rocks based Linux HPC Clusters Tong Liu, Saeed Iqbal, Yung-Chin Fang, Onur Celebioglu, Victor Masheyakhi and Reza Rooholamini Dell Inc. {Tong_Liu,
More informationSSI-OSCAR Single System Image - Open Source Cluster Application Resources
2006 OSCAR Symposium St. John's, Newfoundland, Canada May 17, 2006 SSI-OSCAR Single System Image - Open Source Cluster Application Resources Geoffroy Vallée, Thomas Naughton and Stephen L. Scott Oak Ridge
More informationSRNWP Workshop. HP Solutions and Activities in Climate & Weather Research. Michael Riedmann European Performance Center
SRNWP Workshop HP Solutions and Activities in Climate & Weather Research Michael Riedmann European Performance Center Agenda A bit of marketing: HP Solutions for HPC A few words about recent Met deals
More informationCloud Computing through Virtualization and HPC technologies
Cloud Computing through Virtualization and HPC technologies William Lu, Ph.D. 1 Agenda Cloud Computing & HPC A Case of HPC Implementation Application Performance in VM Summary 2 Cloud Computing & HPC HPC
More informationThe Cost Effectiveness of PolyServe Matrix Server and SAPRITURITY
Migrating from UNIX SMP Servers to Linux Clusters The Cost-Effective Alternative PolyServe Clusters of Intel Architecture-based Servers An Intel and PolyServe White Paper The increasingly compelling price/performance
More informationUsing Peer to Peer Dynamic Querying in Grid Information Services
Using Peer to Peer Dynamic Querying in Grid Information Services Domenico Talia and Paolo Trunfio DEIS University of Calabria HPC 2008 July 2, 2008 Cetraro, Italy Using P2P for Large scale Grid Information
More informationTable of Contents. Server Virtualization Peer Review 01-03-2007 cameron 1-24-2007: modified, cameron
Table of Contents Objective...2 Definitions...2 Objective discussion...2 Comparison criteria...3 Criteria weights...4 Product scores...4 Criteria comparison discussion...5 References...7 Cost Estimate,
More informationAchieving Performance Isolation with Lightweight Co-Kernels
Achieving Performance Isolation with Lightweight Co-Kernels Jiannan Ouyang, Brian Kocoloski, John Lange The Prognostic Lab @ University of Pittsburgh Kevin Pedretti Sandia National Laboratories HPDC 2015
More informationParallel Visualization for GIS Applications
Parallel Visualization for GIS Applications Alexandre Sorokine, Jamison Daniel, Cheng Liu Oak Ridge National Laboratory, Geographic Information Science & Technology, PO Box 2008 MS 6017, Oak Ridge National
More informationLBM BASED FLOW SIMULATION USING GPU COMPUTING PROCESSOR
LBM BASED FLOW SIMULATION USING GPU COMPUTING PROCESSOR Frédéric Kuznik, frederic.kuznik@insa lyon.fr 1 Framework Introduction Hardware architecture CUDA overview Implementation details A simple case:
More informationUniversidad Simón Bolívar
Cardinale, Yudith Figueira, Carlos Hernández, Emilio Baquero, Eduardo Berbín, Luis Bouza, Roberto Gamess, Eric García, Pedro Universidad Simón Bolívar In 1999, a couple of projects from USB received funding
More informationXtreemFS a Distributed File System for Grids and Clouds Mikael Högqvist, Björn Kolbeck Zuse Institute Berlin XtreemFS Mikael Högqvist/Björn Kolbeck 1
XtreemFS a Distributed File System for Grids and Clouds Mikael Högqvist, Björn Kolbeck Zuse Institute Berlin XtreemFS Mikael Högqvist/Björn Kolbeck 1 The XtreemOS Project Research project funded by the
More informationBenchmark Framework for a Load Balancing Single System Image
32 IJCSNS International Journal of Computer Science and Network Security, VOL.8 No.5, May 28 Benchmark Framework for a Load Balancing Single System Image Bestoun S. Ahmed, Khairulmizam Samsudin and Abdul
More informationDistributed Systems Architectures
Software Engineering Distributed Systems Architectures Based on Software Engineering, 7 th Edition by Ian Sommerville Objectives To explain the advantages and disadvantages of different distributed systems
More informationOn-Demand Supercomputing Multiplies the Possibilities
Microsoft Windows Compute Cluster Server 2003 Partner Solution Brief Image courtesy of Wolfram Research, Inc. On-Demand Supercomputing Multiplies the Possibilities Microsoft Windows Compute Cluster Server
More informationAn Introduction to Virtualization and Cloud Technologies to Support Grid Computing
New Paradigms: Clouds, Virtualization and Co. EGEE08, Istanbul, September 25, 2008 An Introduction to Virtualization and Cloud Technologies to Support Grid Computing Distributed Systems Architecture Research
More informationIntegrated Application and Data Protection. NEC ExpressCluster White Paper
Integrated Application and Data Protection NEC ExpressCluster White Paper Introduction Critical business processes and operations depend on real-time access to IT systems that consist of applications and
More informationBSC - Barcelona Supercomputer Center
Objectives Research in Supercomputing and Computer Architecture Collaborate in R&D e-science projects with prestigious scientific teams Manage BSC supercomputers to accelerate relevant contributions to
More informationOn Cloud Computing Technology in the Construction of Digital Campus
2012 International Conference on Innovation and Information Management (ICIIM 2012) IPCSIT vol. 36 (2012) (2012) IACSIT Press, Singapore On Cloud Computing Technology in the Construction of Digital Campus
More informationHAVmS: Highly Available Virtual machine Computer System Fault Tolerant with Automatic Failback and close to zero downtime
HAVmS: Highly Available Virtual machine Computer System Fault Tolerant with Automatic Failback and close to zero downtime Memmo Federici INAF - IAPS, Bruno Martino CNR - IASI The basics Highly available
More information