August 05-06, 2004 (Thursday)
|
|
- Tiffany Henry
- 5 years ago
- Views:
Transcription
1 An overview of Grid Computing Workshop August 05-06, 2004 (Thursday) Contact URL : 1
2 Betatesting Group,NPSF, C-DAC,Pune Dr.VCV.Rao Mr.Ravi Kumar Mr.Subba Ramanna Mr.Sridhar Padala Ms. B.S.V.S. Sudha NPSF System Admin Group, C-DAC,Pune Dr. Sandeep K. Joshi 2
3 1. Dongarra, J., Bunch, J., Moler C., an Stewart, G. W., LINPACK user guide, Tech report, 1979, 2. Ernst L. Leiss, Parallel and Vector Computing A practical Introduction, McGraw-Hill Series on Computer Engineering, Newyork (1995). 3. Albert Y.H. Zomaya, Parallel and distributed Computing Handbook, McGraw-Hill Series on Computing Engineering, Newyork (1996). 4. Vipin Kumar, Ananth Grama, Anshul Gupta, George Karypis, Introduction to Parallel Computing, Design and Analysis of Algorithms, Redwood City, CA, Benjmann/Cummings (1994). 5. William Gropp, Rusty Lusk, Tuning MPI Applications for Peak Performance, Pittsburgh (1996) 6. Ian T. Foster, Designing and Building Parallel Programs, Concepts and tools for Parallel Software Engineering, Addison-Wesley Publishing Company (1995). 7. Kai Hwang, Zhiwei Xu, Scalable Parallel Computing (Technology Architecture Programming) McGraw Hill Newyork (2004) 8. David E Culler,Jaswinder Pal Singh with Anoop Gupta, Parallel Computer Architecture, A Hardware/Software Approach, Morgan Kaufmann Publishers, Inc, (1999) 9. W.Gropp, E. Lusk, N.Doss, A. Skjellum, A high performance portable implementation of the message passing Interface (mpi) standard, Parallel Computing 22 (6), Sep
4 References : HPC 11. The PALLAS MPI Benchmarks, LMBench, References for HPC/Grid Computing GRID MPBench, NAS Benchmarks, STREAM: Measuring Sustainable Memory Bandwidth in High Performance Computing, The SPEC Benchmarks The P-COMS MPI Benchmarks : PARAM Padma, Hey, T., and Lancaster, D., The development of Parkbench and performance prediction, The Inter. J. of High Performance Computing Applications 14, No. 3, pp , Woo S., Ohara M.,Torre E., Singh J.P., and Gupta A, The SPALSH-2 Programs : Characterization and methodological considerations, In Proceedings of 22nd International Symposium on Computer Architectures, Italy, June
5 References :Grid Computing References for HPC/Grid Computing GRID Evaluating the Information Power Grid using the NAS Grid Benchmarks, Foster, I. And C. Kesselman, The Grid: Blueprint for a New Computing Infrastructure, San Fransisco: Morgan Kaufmann Publishers, Inc., Foster, I., C. Kesselman, and S. Tuecke, The Anatomy of the Grid: Enabling Scalable Virtual Organizations, International Journal of High Performance Computing Applications, Vol. 15, No. 3, Grid Computing, 5. Alan Snavely, Greg Chun, Henri Casanova, Rob Van der Wijgaart, Michael A Frumkin, Benchmarks for Grid Computing - A Review of Ongoing Efforts and Future Directions, Univ of California San Diego, NSF project, Copyright 2000 ACM, Grid Assessment Probe benchmarks (GRASP), 7. GridBench, 8. Globus website 9. Globus website GGF (Global Grid Forum) 5
6 11. Henri Casanova, Obertelli G, Berman F, and R. Wolski, The AppLeS Parameter Sweep Template: User-Level Middleware for the Grid, Proceedings of the IEEE SC 2000: Inter. Conf. Networking and Computing, Texas, IEEE CS Press, USA, Nov Greg Chun, Holly Dail, Henri Casanova, Allan Snavely, Benchmark Probes for Grid Assessment Department of Computer Science and Engineering, University of California San Diego, NSF project, ; gchun@ucsd.edu, Rajkumar Buyya, David Abramson, and Jonathan Giddy, Nimrod/G: An Architecture for a Resource Management and Scheduling System in a Global Computational Grid, In Proceedings of the HPC ASIA 2000, the 4th International Conference on High Performance Computing in Asia-Pacific Region, Beijing, China, IEEE Computer Society Press, USA, K. Ranganathan and I. Foster, Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications, Proceedings of 11th IEEE International Symposium on High Performance Distributed Computing (HPDC-11), Edinburgh, Scotlandm, IEEE CS Press, USA, July Stiller, G. Fankhauser, N. Weiler, B. Plattner, Charging and Accounting for Integrated Internet Services-State of the Art, Problems, and Trends, The Internet Summit (INET 98), Geneva, Switzerland, July 21-24, Anthony Beardsmore, Keith Hartley, Sam Hawkins, Simon Laws, James Magowan, Andrew Twigg, Grid Service Accounting Extensions (GSAX), IBM, Sept 14,
7 References for HPC/Grid Computing GRID Hey, T., and Lancaster, D., The development of Parkbench and performance prediction, The Inter. J. of High Performance Computing Applications 14, No. 3, pp , NAS Grid Benchmarks, NASA s Information Power Grid (IPG), Srikumar Venugopal, Rajkumar Buyya and Lyle Winton, A Grid Service Broker for Scheduling Distributed Data-Oriented Applications on Global Grids, Zs. Németh: Invited talk, Grid performance, grid benchmarks, grid metrics, Proceedings of the 3rd Cracow Grid Workshop, Cracow, October, pp 34-41, J.Frey, T.Tannenbaum, I Foster, M Liviy, S. Tuecke, Condor-G: A Computational Management Agent for Multi-Institutional Grids, Cluster Computing Vol. 5, No.3, pp , Condor G, European Data Grid Project, Stiller B, Gerket, Flury P, Reichl P, Hasan, Charging distributed Services of a Computational Grid Architecture, by Swiss Federal Institute of Technology, ETH Zurich, Switzerland, CCGRID, W. Allcock, J.Bester, J. Bresnahan, A. Chervenak, L. Liming, S. Meder, S. Tuecke, Grid FTP protocol Specification, GGF, GridFTP Working Group Document, September
8 References for HPC/Grid Computing GRID BIRN, (The Biomedical Informatics Rezearch Netwrok), ROADNet, SRB, 30. Berman. F., A. Chien, K. Cooper, J.Dongarra, I Foster, D. Gannon, L. Johnson, K.Kennedy, C. Kesselman, J. Mellor-Crummey, D.Reid, L. Torczon, and R. Wolki, The GrADS Project, : Software Support for High-Level Grid Applications. Vol. 15, No.4, (Winter 2001) 31. Foster, I., Kesselman, C., Nick, J., Tuecke, S., The Physiology of The Grid : An Open Grid Services Architecture for Distributed Systems Integration, January GriPhyN, Grid Physics Network, MPICH-G2: A Globus-enabled MPI, Foster, I., C. Kesselman G., Tsudik, and S. Tuecke, A Security Architecture for Computational Grids, 5 th ACM Conference on Computer and Communications Security, pp 83-93, Wolski, R., Dynamically Forecasting Network Performance using the Network Weather Service, Cluster Computing (1998), available from William Leinberger and Vipin Kumar, Information Power Grid : The new frontier in Parallel Computing? IEEE Concurrency, October December
9 37. Antoine Petitet, Susan Blackford, Jack Dongarra, Brett Ellis, Graham Fagg, Kenneth Roche, and Sathish Vadhiyar, Numerical Libraries And the Grid, The GrADS Experiments With ScaLAPACK, Innovative Computing Laboratory, Computer Science Department, University of Tennessee, UT-CS , April Henri Casanova and Jack Dongarra NetSolve:A network Server for Solving Computational Science Problems; University of Tennessee, Technical report No. cs , Nov William Leinberger and Vipin Kumar, Information Power Grid : The new frontier in Parallel Computing? IEEE Concurrency, October December The Globus Data Management Group, A replica Management Service for High Performance Data Grids; 41. Jack Donagarra and Victor Eijkhout, Self-Adapting Numerical Software for next generation applications, The International Journal of High Performance Computing Applications, Volume 17,No, 2, Summer 2003, pp , Casanova H., Kim, M., Plank, J.S., and Dongarra J., Adaptive Scheduling for task farming with grid middleware, International J of High Performance Computing, 13, , Matel Ripeanu, Adriana Iamnitchi, and Ian Foster, Cactus Application, Performance Predications in Grid Environments, Euro-Par 2001, pp , 2001, Spinter Verlag Berlin, Heidelberg,
10 References for HPC/Grid Computing GRID Antoine Petitet, Susan Blackford, Jack Dongarra, Brett Ellis, Graham Fagg, Kenneth Roche, and Sathish Vadhiyar, Numerical Libraries And the Grid, The GrADS Experiments With ScaLAPACK, Innovative Computing Laboratory, Computer Science Department, University of Tennessee, UT-CS , April Henri Casanova and Jack Dongarra NetSolve:A network Server for Solving Computational Science Problems; University of Tennessee, Technical report No. cs , Nov William Leinberger and Vipin Kumar, Information Power Grid : The new frontier in Parallel Computing? IEEE Concurrency, October December The Globus Data Management Group, A replica Management Service for High Performance Data Grids; 48. Jack Donagarra and Victor Eijkhout, Self-Adapting Numerical Software for next generation applications, The International Journal of High Performance Computing Applications, Volume 17,No, 2, Summer 2003, pp , Casanova H., Kim, M., Plank, J.S., and Dongarra J., Adaptive Scheduling for task farming with grid middleware, International J of High Performance Computing, 13, , Matel Ripeanu, Adriana Iamnitchi, and Ian Foster, Cactus Application, Performance Predications in Grid Environments, Euro-Par 2001, pp , 2001, Spinter Verlag Berlin, Heidelberg, D. Laforenza, Grid Programming : Some indications Where we are headed, Parallel Computing 28, page : ,
11 References for HPC/Grid Computing GRID Craig A. Lee, Rich Wolski, Carl Kesselman, Ian Foster; A network Performance Tool for Grid Environments- Gloperf tool part of Globus Toolkit 53. William Leinberger and Vipin Kumar, Information Power Grid : The new frontier in Parallel Computing? IEEE Concurrency, October December The Globus Data Management Group, A replica Management Service for High Performance Data Grids; 55. Jack Donagarra and Victor Eijkhout, Self-Adapting Numerical Software for next generation applications, The International Journal of High Performance Computing Applications, Volume 17,No, 2, Summer 2003, pp , Casanova H., Kim, M., Plank, J.S., and Dongarra J., Adaptive Scheduling for task farming with grid middleware, International J of High Performance Computing, 13, , Matel Ripeanu, Adriana Iamnitchi, and Ian Foster, Cactus Application, Performance Predications in Grid Environments, Euro-Par 2001, pp , 2001, Spinger Verlag Berlin, Heidelberg, E. Gabriel, M.Resch, T. Beisel, and R. Keller, Distributed Computing in a Heterogeneous Computing Environment, In PVM/MPI,pages , Globus : Frequently Asked Questions (The Globus Project); Available from TeraGrid :, 11
12 References for HPC/Grid Computing GRID Foster, I., C. Kesselman, and S.Tuecke, The Anatomy of the Grid Enabling Scalable Virtual Organization, International Journal of High Performance Computing Applications, Vol 15, No.3, Czajkowski, K., I.Foster, N. Karonis, C.Kesselman, S., Martin, W. Smith, and S. Tuecke, RA resource Managements Architecture for Metacomputing Systems, Proceedings of IIPS/SDDP, Workshop on Job Scheduling for Parallel Processing (1998) 62. Allock W., A. Chervenak, I.Foster, C.Kesselman, C.Salisbury, and S. Tuecke, The Data Grid :Towards an Architecture for the Distributed Management and Analysis of large Scientific Datasets, J of Network and Computer Applications, vol.23, pp SRB,hhtp :// 64. NWS; SETI@home Project, 66. J.Borrill et. al., MADCAP:The Microwave Anisotropy Dataset Computational Analysis Package in Proceedings of the 5 th European SBI/Cary MPP Workshop (1999) 67. AppLeS, Netperf, Michael Resch, Thomas Beisel, Thmoas, Boenisch, (University of Stuggart, Germany), Bruce Loftis, Raghu Reddy, (Pittsburg Supercomputing Center), Intercontinental Computing, 1997, 12
13 70. Klaus Krauter, Rajkumar Buyya, and Muthuicumaru Maheswaran, A taxonomy and Survey of Grid Resource Management Systems for Distributed Computing, Software Practice and Experience, 2001, 00:1-7; page 1-31, Copy Right John Wiley & Sons, Ltd. 71. D. Abramson, J. Giddy, and L. Kotler,High Performance parametric modeling with nimrod/g :Killer application for the global grid? 14 th International Parallel and Distributed Processing Symposium (HPDS 2000), April M.Litzkow, M. Livny, and M.W Mutka,Condor A hunter of idle workstations, 8 th International Conference of Distributed Computing Systems, June N.Kapadia, R.Figueiredo, and J.Fortes, PUNCH, Web portal for running tools, IEEE Micro, May June N.Kapadia and J.Fortes,PUNCH :An architecture for web-enabled wide area networkcomputing, Cluster Computing,:The Journal of Networks, Software Tools and Applications;Special Issue on High Performance Distributed Computing, September H.Nakada, M.Sato, and S. Sekiguchi, Design and implementation of Ninf :Towards a global computing infrastructure, Future Generation Computing Systems (Metacomputing Special Issue, October Gabriel Mateescu, Quality of service of the Grid via Metascheduling with resource coscheduling and co-reservation, The International Journal of the High Performance Computing Applications, Volume 17, No.3, Fall 2003, pp ,
14 77. I. Foster, C.Kesselman, S. Tuecke, The anatomy of the Grid enabled scalable virtual organizations, The international Journal of High Performance Computing Applications, 15 (3), pp , C.Lee, S.Matsuoki, D. Talia, A. Sussman, N. Karonis, G. Allen, J.Saltz, A grid programming Primer, August 2001,Global Grid Forum, Advanced Programming Models Working Group, < < 79. D.Cannon, R.Bramley, G. Fox, S. Smallen, A.Rossi, R.Ananathkrishnan, F.Betterand, K. Chiu, M. Farrellee, M.Govnidaraju, S.Krishnan, L.Ramakishnan, Y.Simmhan, A. Slominski, Y.Ma, C.Olariu, N. Rey-Cenvaz, Programming the Grid Distributed Software Components, P2P and the Grid Web services for Scientific Applications, Department of Computer Science, Indiana University, Available from T. Beisel, H. Berger, K.Vidmon, E.Gabriel, R.Keller, M.Muller, PACX-MPI- Extending MPI for distribtued Comptuing 20021, Available from Ninf :available from project details available from G.Edjlali, A. Sushman,J.Saltz, Interoperability of data parallel runtime libraries, in proceedings of 11 th International Par.Prccessing, IEEE Computer Society Press, Enterprise Java Beans, Available from 14
15 77. J.Siegel CORBA 3, OMG Press, John Wiley & Sons Inc Java Available from C.Rene, T.Priol, MPI code encapsulation using parallel CORBA object, in proceedings of the Eight IEEE International Symposium on High Performance Distributed Computing, IEEE, August 1999, pp Common Component Architecture Forum, Available from M.Vanneschi, The programming model of ASSIST, an environment for parallel and distributed portable applications, Special Issues on Advanced Environments for Parallel and Distributed Computing, Parallel Computing, North-Holland SOAP : Available from < 83. XML: Available from < 84. WSDL : Available from < 85. Graham Glass, Web Services:Building Blocks for Distributed Systems, Prentice Hall The Grid Application Development Software (GrADS) Project :Available from < 87. K./Kennedy, Software Technology for Problem Solving on Computational grids, An overview of GrADS Project. Available from /GrADSOverview.pdf> and < 15
Day 1 : August (Thursday) An overview of Globus Toolkit 2.4
An Overview of Grid Computing Workshop Day 1 : August 05 2004 (Thursday) An overview of Globus Toolkit 2.4 By CDAC Experts Contact :vcvrao@cdacindia.com; betatest@cdacindia.com URL : http://www.cs.umn.edu/~vcvrao
More informationDay 2 August 06, 2004 (Friday)
An Overview of Grid Computing Day 2 August 06, 2004 (Friday) By CDAC Experts Contact :vcvrao@cdacindia.com; betatest@cdacindia.com URL : http://www.cs.umn.edu/~vcvrao 1 Betatesting Group,NPSF, C-DAC,Pune
More informationExperiments with Scheduling Using Simulated Annealing in a Grid Environment
Experiments with Scheduling Using Simulated Annealing in a Grid Environment Asim YarKhan Computer Science Department University of Tennessee yarkhan@cs.utk.edu Jack J. Dongarra Computer Science Department
More informationBiological Sequence Alignment On The Computational Grid Using The Grads Framework
Biological Sequence Alignment On The Computational Grid Using The Grads Framework Asim YarKhan (yarkhan@cs.utk.edu) Computer Science Department, University of Tennessee Jack J. Dongarra (dongarra@cs.utk.edu)
More informationA Data-Aware Resource Broker for Data Grids
A Data-Aware Resource Broker for Data Grids Huy Le, Paul Coddington, and Andrew L. Wendelborn School of Computer Science, University of Adelaide Adelaide, SA 5005, Australia {paulc,andrew}@cs.adelaide.edu.au
More informationDiPerF: automated DIstributed PERformance testing Framework
DiPerF: automated DIstributed PERformance testing Framework Ioan Raicu, Catalin Dumitrescu, Matei Ripeanu, Ian Foster Distributed Systems Laboratory Computer Science Department University of Chicago Introduction
More informationAn Introduction to the Grid
1 An Introduction to the Grid 1.1 INTRODUCTION The Grid concepts and technologies are all very new, first expressed by Foster and Kesselman in 1998 [1]. Before this, efforts to orchestrate wide-area distributed
More informationUNICORE Globus: Interoperability of Grid Infrastructures
UNICORE : Interoperability of Grid Infrastructures Michael Rambadt Philipp Wieder Central Institute for Applied Mathematics (ZAM) Research Centre Juelich D 52425 Juelich, Germany Phone: +49 2461 612057
More informationToward a Framework for Preparing and Executing Adaptive Grid Programs
Toward a Framework for Preparing and Executing Adaptive Grid Programs Ken Kennedy α, Mark Mazina, John Mellor-Crummey, Keith Cooper, Linda Torczon Rice University Fran Berman, Andrew Chien, Holly Dail,
More informationThe Grid: Feng Shui for the Terminally Rectilinear
The Grid: Feng Shui for the Terminally Rectilinear Martha Stewart Introduction While the rapid evolution of The Internet continues to define a new medium for the sharing and management of information,
More informationA Grid Service Broker for Scheduling Distributed Data-Oriented Applications on Global Grids
A Grid Broker for Scheduling Distributed Data-Oriented Applications on Global Grids Srikumar Venugopal, Rajkumar Buyya GRIDS Laboratory and NICTA Victoria Laboratory Dept. of Computer Science and Software
More informationPerformance Analysis of Applying Replica Selection Technology for Data Grid Environments*
Performance Analysis of Applying Replica Selection Technology for Data Grid Environments* Chao-Tung Yang 1,, Chun-Hsiang Chen 1, Kuan-Ching Li 2, and Ching-Hsien Hsu 3 1 High-Performance Computing Laboratory,
More informationA Brief Survey on Resource Allocation in Service Oriented Grids
A Brief Survey on Resource Allocation in Service Oriented Grids Daniel M. Batista and Nelson L. S. da Fonseca Institute of Computing State University of Campinas Avenida Albert Einstein, 1251 13084-971
More informationPOSSIBILITIES OF OPTIMIZATION IN SCHEDULING AT GRID ENVIRONMENTS: A VIEW FROM DISTRIBUTED DATA MINING
60 POSSIBILITIES OF OPTIMIZATION IN SCHEDULING AT GRID ENVIRONMENTS: A VIEW FROM DISTRIBUTED DATA MINING P. Vishvapathi 1, Dr. S.Ramachandram 2, Dr.A.Govardhan 3 CMR Engineering College, Hyderabad, India
More informationDesign and Implementation of DAG-Based Co-scheduling of RPC in the Grid
Design and Implementation of DAG-Based Co-scheduling of RPC in the Grid JiHyun Choi 1, DongWoo Lee 2, R.S. Ramakrishna 3, Michael Thomas 4, and Harvey Newman 5 1,2,3 Department of Information and Communication,
More informationBuilding Performance Topologies for Computational Grids UCSB Technical Report
Building Performance Topologies for Computational Grids UCSB Technical Report 2002-11 Martin Swany and Rich Wolski Department of Computer Science University of California Santa Barbara, CA 93106 {swany,rich}@cs..edu
More informationAn Active Resource Management System for Computational Grid*
An Active Resource Management System for Computational Grid* Xiaolin Chen 1, Chang Yang 1, Sanglu Lu 2, and Guihai Chen 2 1 Department of Computer Science, Chuxiong Normal University, Chuxiong 675000,
More informationGrid Computing. Grid Computing 2
Grid Computing Mahesh Joshi joshi031@d.umn.edu Presentation for Graduate Course in Advanced Computer Architecture 28 th April 2005 Objective Overview of the concept and related aspects Some practical implications
More informationTechnical Comparison between several representative checkpoint/rollback solutions for MPI programs
Technical Comparison between several representative checkpoint/rollback solutions for MPI programs Yuan Tang Innovative Computing Laboratory Department of Computer Science University of Tennessee Knoxville,
More informationGrid Application Development Software
Grid Application Development Software Department of Computer Science University of Houston, Houston, Texas GrADS Vision Goals Approach Status http://www.hipersoft.cs.rice.edu/grads GrADS Team (PIs) Ken
More informationGRID COMPUTING BASED MODEL FOR REMOTE MONITORING OF ENERGY FLOW AND PREDICTION OF HT LINE LOSS IN POWER DISTRIBUTION SYSTEM
GRID COMPUTING BASED MODEL FOR REMOTE MONITORING OF ENERGY FLOW AND PREDICTION OF HT LINE LOSS IN POWER DISTRIBUTION SYSTEM 1 C.Senthamarai, 2 A.Krishnan 1 Assistant Professor., Department of MCA, K.S.Rangasamy
More informationOptimization Problem Solving System using GridRPC
Optimization Problem Solving System using GridRPC Hisashi Shimosaka, Tomoyuki Hiroyasu, Member, IEEE, Mitsunori Miki, Member, IEEE, and Jack Dongarra, Member, IEEE, Abstract In recent years, the Grid has
More informationvisperf: Monitoring Tool for Grid Computing
visperf: Monitoring Tool for Grid Computing DongWoo Lee 1, Jack J. Dongarra 2, and R.S. Ramakrishna 1 1 Department of Information and Communication Kwangju Institute of Science and Technology, Republic
More informationGrADSolve - a Grid-based RPC system for. Parallel Computing with Application-Level. Scheduling
GrADSolve - a Grid-based RPC system for Parallel Computing with Application-Level Scheduling Sathish S. Vadhiyar, Department of Computer Science, University of Tennessee Jack J. Dongarra Department of
More informationDistributed Application Management in Heterogeneous GRIDS
Distributed Application Management in Heterogeneous GRIDS P. Lindner, N. Currle-Linde, M. M. Resch High Performance Computing Center Stuttgart (HLRS), Stuttgart, Germany E. Gabriel High Performance Computing
More informationVisual Modeler for Grid Modeling and Simulation (GridSim) Toolkit
Visual Modeler for Grid Modeling and Simulation (GridSim) Toolkit Anthony Sulistio, Chee Shin Yeo, and Rajkumar Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory, Department of Computer Science
More informationAdvanced High Performance Computing CSCI 580
Advanced High Performance Computing CSCI 580 2:00 pm - 3:15 pm Tue & Thu Marquez Hall 322 Timothy H. Kaiser, Ph.D. tkaiser@mines.edu CTLM 241A http://inside.mines.edu/~tkaiser/csci580fall13/ 1 Two Similar
More informationMSF: A Workflow Service Infrastructure for Computational Grid Environments
MSF: A Workflow Service Infrastructure for Computational Grid Environments Seogchan Hwang 1 and Jaeyoung Choi 2 1 Supercomputing Center, Korea Institute of Science and Technology Information, 52 Eoeun-dong,
More informationGrid Computing Security: A Survey
Grid Computing Security: A Survey Basappa B. Kodada, Shiva Kumar K. M Dept. of CSE Canara Engineering College, Mangalore basappabk@gmail.com, shivakumarforu@rediffmail.com Abstract - This paper provides
More informationGrid Service Provider: How to Improve Flexibility of Grid User Interfaces?
Grid Service Provider: How to Improve Flexibility of Grid User Interfaces? Maciej Bogdanski, Michal Kosiedowski, Cezary Mazurek, and Malgorzata Wolniewicz Poznan Supercomputing and Networking Center, ul.
More informationA Grid-Enabled Component Container for CORBA Lightweight Components
A Grid-Enabled Component Container for CORBA Lightweight Components Diego Sevilla 1, José M. García 1, Antonio F. Gómez 2 1 Department of Computer Engineering 2 Department of Information and Communications
More informationGRID*p: Interactive Data-Parallel Programming on the Grid with MATLAB
GRID*p: Interactive Data-Parallel Programming on the Grid with MATLAB Imran Patel and John R. Gilbert Department of Computer Science University of California, Santa Barbara {imran, gilbert}@cs.ucsb.edu
More informationBiological Sequence Alignment On The Computational Grid Using The GrADS Framework
Biological Sequence Alignment On The Computational Grid Using The GrADS Framework Asim YarKhan a Jack J. Dongarra a,b a Computer Science Department, University of Tennessee, Knoxville, TN 37996 b Computer
More informationARMSim: A Modeling and Simulation Environment for Agent-Based Grid Computing
ARMSim: A Modeling and Simulation Environment for Agent-Based Grid Computing Junwei Cao C&C Research Laboratories NEC Europe Ltd., Germany cao@ccrl-nece.de ARMS is an agent-based resource management system
More informationComponent Architectures
Component Architectures Rapid Prototyping in a Networked Environment Ken Kennedy Rice University http://www.cs.rice.edu/~ken/presentations/lacsicomponentssv01.pdf Participants Ruth Aydt Bradley Broom Zoran
More informationGridSphere s Grid Portlets
COMPUTATIONAL METHODS IN SCIENCE AND TECHNOLOGY 12(1), 89-97 (2006) GridSphere s Grid Portlets Michael Russell 1, Jason Novotny 2, Oliver Wehrens 3 1 Max-Planck-Institut für Gravitationsphysik, Albert-Einstein-Institut,
More informationAnalysis of the Component Architecture Overhead in Open MPI
Analysis of the Component Architecture Overhead in Open MPI B. Barrett 1, J.M. Squyres 1, A. Lumsdaine 1, R.L. Graham 2, G. Bosilca 3 Open Systems Laboratory, Indiana University {brbarret, jsquyres, lums}@osl.iu.edu
More informationA Decoupled Scheduling Approach for the GrADS Program Development Environment. DCSL Ahmed Amin
A Decoupled Scheduling Approach for the GrADS Program Development Environment DCSL Ahmed Amin Outline Introduction Related Work Scheduling Architecture Scheduling Algorithm Testbench Results Conclusions
More informationDecreasing End-to Job Execution Times by Increasing Resource Utilization using Predictive Scheduling in the Grid
Decreasing End-to to-end Job Execution Times by Increasing Resource Utilization using Predictive Scheduling in the Grid Ioan Raicu Computer Science Department University of Chicago Grid Computing Seminar
More informationData and Activity Representation for Grid Computing
Data and Activity Representation for Grid Computing Amit Karnik and Calvin J. Ribbens Department of Computer Science, Virginia Tech Blacksburg, VA {akarnik,ribbens}@vt.edu 1 March 2002 Abstract Computational
More informationCSF4:A WSRF Compliant Meta-Scheduler
CSF4:A WSRF Compliant Meta-Scheduler Wei Xiaohui 1, Ding Zhaohui 1, Yuan Shutao 2, Hou Chang 1, LI Huizhen 1 (1: The College of Computer Science & Technology, Jilin University, China 2:Platform Computing,
More informationOrganizational issues (I)
COSC 6374 Parallel Computation Introduction and Organizational Issues Spring 2008 Organizational issues (I) Classes: Monday, 1.00pm 2.30pm, F 154 Wednesday, 1.00pm 2.30pm, F 154 Evaluation 2 quizzes 1
More informationPCGrid: Integration of College s Research Computing Infrastructures Using Grid Technology *
PCGrid: Integration of College s Research Computing Infrastructures Using Grid Technology * Kuan-Ching Li 1 Chiou-Nan Chen 1, 2 Chun-Chieh Liu 1 Chia-Fu Chang 1 Chia-Wen Hsu 1 Sheng-Shiang Hung 1 Chun-Yu
More informationCOSC 6374 Parallel Computation. Organizational issues (I)
COSC 6374 Parallel Computation Spring 2007 Organizational issues (I) Classes: Monday, 4.00pm 5.30pm, SEC 204 Wednesday, 4.00pm 5.30pm, SEC 204 Evaluation 2 homeworks, 25% each 2 quizzes, 25% each In case
More informationAn Engineering Computation Oriented Visual Grid Framework
An Engineering Computation Oriented Visual Grid Framework Guiyi Wei 1,2,3, Yao Zheng 1,2, Jifa Zhang 1,2, and Guanghua Song 1,2 1 College of Computer Science, Zhejiang University, Hangzhou, 310027, P.
More informationMiddleware for the Use of Storage in Communication
Middleware for the Use of Storage in Communication Micah Beck, Dorian Arnold, Alessandro Bassi, Fran Berman, Henri Casanova, Jack Dongarra, Terry Moore, Graziano Obertelli, James Plank, Martin Swany, Sathish
More informationSolving the Travelling Salesman Problem in Parallel by Genetic Algorithm on Multicomputer Cluster
Solving the Travelling Salesman Problem in Parallel by Genetic Algorithm on Multicomputer Cluster Plamenka Borovska Abstract: The paper investigates the efficiency of the parallel computation of the travelling
More informationGRB. Grid-JQA : Grid Java based Quality of service management by Active database. L. Mohammad Khanli M. Analoui. Abstract.
Grid-JQA : Grid Java based Quality of service management by Active database L. Mohammad Khanli M. Analoui Ph.D. student C.E. Dept. IUST Tehran, Iran Khanli@iust.ac.ir Assistant professor C.E. Dept. IUST
More informationScheduling Large Parametric Modelling Experiments on a Distributed Meta-computer
Scheduling Large Parametric Modelling Experiments on a Distributed Meta-computer David Abramson and Jon Giddy Department of Digital Systems, CRC for Distributed Systems Technology Monash University, Gehrmann
More informationChapter 4:- Introduction to Grid and its Evolution. Prepared By:- NITIN PANDYA Assistant Professor SVBIT.
Chapter 4:- Introduction to Grid and its Evolution Prepared By:- Assistant Professor SVBIT. Overview Background: What is the Grid? Related technologies Grid applications Communities Grid Tools Case Studies
More informationA Performance Contract System in a Grid Enabling, Component Based Programming Environment *
A Performance Contract System in a Grid Enabling, Component Based Programming Environment * Pasquale Caruso 1, Giuliano Laccetti 2, and Marco Lapegna 2 1 Institute of High Performance Computing and Networking,
More informationGrid Technologies & Applications: Architecture & Achievements
Grid Technologies & Applications: Architecture & Achievements Ian Foster Mathematics & Computer Science Division, Argonne National Laboratory, Argonne, IL 60439, USA Department of Computer Science, The
More informationScalable Hybrid Search on Distributed Databases
Scalable Hybrid Search on Distributed Databases Jungkee Kim 1,2 and Geoffrey Fox 2 1 Department of Computer Science, Florida State University, Tallahassee FL 32306, U.S.A., jungkkim@cs.fsu.edu, 2 Community
More informationAn Experience in Accessing Grid Computing from Mobile Device with GridLab Mobile Services
An Experience in Accessing Grid Computing from Mobile Device with GridLab Mobile Services Riri Fitri Sari, Rene Paulus Department of Electrical Engineering, Faculty of Engineering University of Indonesia
More informationIntroduction to GT3. Introduction to GT3. What is a Grid? A Story of Evolution. The Globus Project
Introduction to GT3 The Globus Project Argonne National Laboratory USC Information Sciences Institute Copyright (C) 2003 University of Chicago and The University of Southern California. All Rights Reserved.
More informationLogistical Computing and Internetworking: Middleware for the Use of Storage in Communication
Logistical Computing and Internetworking: Middleware for the Use of Storage in Communication Micah Beck Dorian Arnold Alessandro Bassi Fran Berman Henri Casanova Jack Dongarra Terence Moore Graziano Obertelli
More informationThe Grid Authentication System for Mobile Grid Environment
IJSRD - International Journal for Scientific Research & Development Vol. 2, Issue 02, 2014 ISSN (online): 2321-0613 The Grid Authentication System for Mobile Grid Environment A.Sudha 1 S.M.Karpagavalli
More informationROCI 2: A Programming Platform for Distributed Robots based on Microsoft s.net Framework
ROCI 2: A Programming Platform for Distributed Robots based on Microsoft s.net Framework Vito Sabella, Camillo J. Taylor, Scott Currie GRASP Laboratory University of Pennsylvania Philadelphia PA, 19104
More informationWhy Performance Models Matter for Grid Computing
Why Performance Models Matter for Grid Computing Ken Kennedy 1 Rice University ken@rice.edu 1 Introduction Global heterogeneous computing, often referred to as the Grid [5, 6], is a popular emerging computing
More informationModified Application Centric Load Balancing Algorithm for Satellitebased
Modified Application Centric Load Balancing Algorithm for Satellitebased Grids BRAJENDRA K. SINGH Space Applications Centre, Indian Space Research Organization, Ahmedabad 380053 INDIA HARESH S. BHATT Space
More informationIntroduction. Software Trends. Topics for Discussion. Grid Technology. GridForce:
GridForce: A Multi-tier Approach to Prepare our Workforce for Grid Technology Bina Ramamurthy CSE Department University at Buffalo (SUNY) 201 Bell Hall, Buffalo, NY 14260 716-645-3180 (108) bina@cse.buffalo.edu
More informationA Comparison of Conventional Distributed Computing Environments and Computational Grids
A Comparison of Conventional Distributed Computing Environments and Computational Grids Zsolt Németh 1, Vaidy Sunderam 2 1 MTA SZTAKI, Computer and Automation Research Institute, Hungarian Academy of Sciences,
More informationWeb-based access to the grid using. the Grid Resource Broker Portal
Web-based access to the grid using the Grid Resource Broker Portal Giovanni Aloisio, Massimo Cafaro ISUFI High Performance Computing Center Department of Innovation Engineering University of Lecce, Italy
More informationSelf-adapting Numerical Software for Next Generation Applications Lapack Working Note 157, ICL-UT-02-07
Self-adapting Numerical Software for Next Generation Applications Lapack Working Note 157, ICL-UT-02-07 Jack Dongarra, Victor Eijkhout December 2002 Abstract The challenge for the development of next generation
More informationBuilding Performance Topologies for Computational Grids
Building Performance Topologies for Computational Grids Martin Swany and Rich Wolski Department of Computer Science University of California Santa Barbara, CA 93106 {swany,rich}@cs.ucsb.edu Abstract This
More informationA Performance Oriented Migration Framework For The Grid Λ
A Performance Oriented Migration Framework For The Grid Λ Sathish S. Vadhiyar and Jack J. Dongarra Computer Science Department University of Tennessee fvss, dongarrag@cs.utk.edu Abstract At least three
More informationWorkflow Support for Complex Grid Applications: Integrated and Portal Solutions 1
Workflow Support for Complex Grid Applications: Integrated and Portal Solutions 1 R. Lovas, G. Dózsa, P. Kacsuk, N. Podhorszki, D. Drótos MTA SZTAKI Laboratory of Parallel and Distributed Systems, H-1518
More informationUsing TOP-C and AMPIC to Port Large Parallel Applications to the Computational Grid
Using TOP-C and AMPIC to Port Large Parallel Applications to the Computational Grid Gene Cooperman Henri Casanova Jim Hayes Thomas Witzel College of Computer Science, Northeastern University. {gene,twitzel}@ccs.neu.edu
More informationA Replica Location Grid Service Implementation
A Replica Location Grid Service Implementation Mary Manohar, Ann Chervenak, Ben Clifford, Carl Kesselman Information Sciences Institute, University of Southern California Marina Del Rey, CA 90292 {mmanohar,
More informationA Model for Scientific Computing Platform
A Model for Scientific Computing Platform Petre Băzăvan CS Romania S.A. Păcii 29, 200692 Romania petre.bazavan@c-s.ro Mircea Grosu CS Romania S.A. Păcii 29, 200692 Romania mircea.grosu@c-s.ro Abstract:
More informationReplica Selection in the Globus Data Grid
Replica Selection in the Globus Data Grid Sudharshan Vazhkudai 1, Steven Tuecke 2, and Ian Foster 2 1 Department of Computer and Information Science The University of Mississippi chucha@john.cs.olemiss.edu
More informationIntroduction to Grid Computing
Milestone 2 Include the names of the papers You only have a page be selective about what you include Be specific; summarize the authors contributions, not just what the paper is about. You might be able
More informationNumerical Libraries And The Grid: The GrADS Experiments With ScaLAPACK
UT-CS-01-460 April 28, 2001 Numerical Libraries And The Grid: The GrADS Experiments With ScaLAPACK Antoine Petitet, Susan Blackford, Jack Dongarra, Brett Ellis, Graham Fagg, Kenneth Roche, and Sathish
More informationPerformance Monitoring of Energy Flow in the Power Transmission and Distribution System Using Grid Computing
Journal of Computer Science 3 (5): 323-328, 2007 ISSN 1549-3636 2007 Science Publications Performance Monitoring of Energy Flow in the Power Transmission and Distribution System Using Grid Computing 1
More informationDynamic Data Grid Replication Strategy Based on Internet Hierarchy
Dynamic Data Grid Replication Strategy Based on Internet Hierarchy Sang-Min Park 1, Jai-Hoon Kim 1, Young-Bae Ko 2, and Won-Sik Yoon 2 1 Graduate School of Information and Communication Ajou University,
More informationConsultation for CZ4102
Self Introduction Dr Tay Seng Chuan Tel: Email: scitaysc@nus.edu.sg Office: S-0, Dean s s Office at Level URL: http://www.physics.nus.edu.sg/~phytaysc I was a programmer from to. I have been working in
More informationMCA V SEMESTER CODE SUBJECT MARKS
MCA V SEMESTER CODE SUBJECT MARKS Int. Ext. Total MCA-51 Computer Graphics 25 75 100 MCA-52 Advanced Database System 25 75 100 MCA-53 Embedded System 25 75 100 MCA-54 Parallel Computing 25 75 100 MCA-55
More informationA Resource Discovery Algorithm in Mobile Grid Computing Based on IP-Paging Scheme
A Resource Discovery Algorithm in Mobile Grid Computing Based on IP-Paging Scheme Yue Zhang 1 and Yunxia Pei 2 1 Department of Math and Computer Science Center of Network, Henan Police College, Zhengzhou,
More informationCompiler Technology for Problem Solving on Computational Grids
Compiler Technology for Problem Solving on Computational Grids An Overview of Programming Support Research in the GrADS Project Ken Kennedy Rice University http://www.cs.rice.edu/~ken/presentations/gridcompilers.pdf
More informationAn EMUSIM Technique and its Components in Cloud Computing- A Review
An EMUSIM Technique and its Components in Cloud Computing- A Review Dr. Rahul Malhotra #1, Prince Jain * 2 # Principal, Adesh institute of Technology, Ghauran, Punjab, India * Lecturer, Malwa Polytechnic
More informationSPEC Research Group and Big Data Xiao Wei Zhang, Liang Lu (IBM / SPEC RG Big Data WG)
SPEC Research Group and Big Data Xiao Wei Zhang, Liang Lu (IBM / SPEC RG Big Data WG) Mission and Objectives The mission of the SPEC RG Big Data Working Group is to facilitate research in performance methodologies
More informationSkeleton Based Performance Prediction on Shared Networks
Skeleton Based Performance Prediction on Shared Networks Sukhdeep Sodhi Microsoft Corp. One Microsoft Way Redmond, WA - 98052 ssodhi@microsoft.com Jaspal Subhlok Department of Computer Science University
More informationR. K. Ghosh Dept of CSE, IIT Kanpur
: Research Issues and Challenges R. K. Ghosh Dept of CSE, IIT Kanpur R. K. Ghosh Cutting Edge, April, 2005 1 of 31 Export Restriction by US Computer export from US to India, China, Russia and Middle East
More informationSRM UNIVERSITY FACULTY OF ENGINEERING AND TECHNOLOGY
SRM UNIVERSITY FACULTY OF ENGINEERING AND TECHNOLOGY DEPARTMENT OF COMPUTER APPLICATIONS COURSE PLAN Course Code : MC0657 Course Title : Grid Computing Semester : III Course Time : July Nov 2011 Day Order
More informationSIMULATION OF ADAPTIVE APPLICATIONS IN HETEROGENEOUS COMPUTING ENVIRONMENTS
SIMULATION OF ADAPTIVE APPLICATIONS IN HETEROGENEOUS COMPUTING ENVIRONMENTS Bo Hong and Viktor K. Prasanna Department of Electrical Engineering University of Southern California Los Angeles, CA 90089-2562
More informationA Resource Discovery Algorithm in Mobile Grid Computing based on IP-paging Scheme
A Resource Discovery Algorithm in Mobile Grid Computing based on IP-paging Scheme Yue Zhang, Yunxia Pei To cite this version: Yue Zhang, Yunxia Pei. A Resource Discovery Algorithm in Mobile Grid Computing
More informationWhy Performance Models Matter for Grid Computing
Why Performance Models Matter for Grid Computing Ken Kennedy 1 Rice University ken@rice.edu 1 Introduction Global heterogeneous computing, often referred to as the Grid [5, 6], is a popular emerging computing
More informationModeling Machine Availability in Enterprise and Wide-area Distributed Computing Environments
Modeling Machine Availability in Enterprise and Wide-area Distributed Computing Environments Daniel Nurmi, John Brevik, and Rich Wolski Department of Computer Science University of California, Santa Barbara
More informationBy Ian Foster. Zhifeng Yun
By Ian Foster Zhifeng Yun Outline Introduction Globus Architecture Globus Software Details Dev.Globus Community Summary Future Readings Introduction Globus Toolkit v4 is the work of many Globus Alliance
More informationAn authorization Framework for Grid Security using GT4
www.ijcsi.org 310 An authorization Framework for Grid Security using GT4 Debabrata Singh 1, Bhupendra Gupta 2,B.M.Acharya 3 4, Sarbeswar Hota S O A University, Bhubaneswar Abstract A Grid system is a Virtual
More informationVS ALCHEMI.NET: A PERFORMANCE COMPARISON
NIMBLE@ITCECNOGRID VS ALCHEMI.NET: A PERFORMANCE COMPARISON Vijay Dhir 1,Dr. Rattan K Datta 2 and Dr. Maitreyee Dutta 3 1 Assistant Professor, Department of Information Technology, SBBSIET, Punjab,India.
More informationGrid Scheduling Architectures with Globus
Grid Scheduling Architectures with Workshop on Scheduling WS 07 Cetraro, Italy July 28, 2007 Ignacio Martin Llorente Distributed Systems Architecture Group Universidad Complutense de Madrid 1/38 Contents
More informationAdaptive Timeout Discovery using the Network Weather Service
Adaptive Timeout Discovery using the Network Weather Service Matthew S. Allen Computer Science Department University of California, Santa Barbara Rich Wolski Computer Science Department University of California,
More informationApplication Specification Language (ASL) A Language for Describing Applications in Grid Computing
Application Specification Language (ASL) A Language for Describing Applications in Grid Computing Enis Afgan, Purushotham Bangalore University of Alabama at Birmingham, Department of Computer and Information
More informationA Dynamic Resource Broker and Fuzzy Logic Based Scheduling Algorithm in Grid Environment
A Dynamic Resource Broker and Fuzzy Logic Based Scheduling Algorithm in Grid Environment Jiayi Zhou 1, Kun-Ming Yu 2, Chih-Hsun Chou 2, Li-An Yang 2, and Zhi-Jie Luo 2 1 Institute of Engineering Science,
More informationHungarian Supercomputing Grid 1
Hungarian Supercomputing Grid 1 Péter Kacsuk MTA SZTAKI Victor Hugo u. 18-22, Budapest, HUNGARY www.lpds.sztaki.hu E-mail: kacsuk@sztaki.hu Abstract. The main objective of the paper is to describe the
More informationA RESOURCE MANAGEMENT FRAMEWORK FOR INTERACTIVE GRIDS
A RESOURCE MANAGEMENT FRAMEWORK FOR INTERACTIVE GRIDS Raj Kumar, Vanish Talwar, Sujoy Basu Hewlett-Packard Labs 1501 Page Mill Road, MS 1181 Palo Alto, CA 94304 USA { raj.kumar,vanish.talwar,sujoy.basu}@hp.com
More informationWeka4WS: a WSRF-enabled Weka Toolkit for Distributed Data Mining on Grids
Weka4WS: a WSRF-enabled Weka Toolkit for Distributed Data Mining on Grids Domenico Talia, Paolo Trunfio, Oreste Verta DEIS, University of Calabria Via P. Bucci 41c, 87036 Rende, Italy {talia,trunfio}@deis.unical.it
More informationWP2.3 SRS G RIDB ENCH
WP2.3 SRS G RIDB ENCH ( THE C ROSSG RID B ENCHMARK S UITE) Document Filename: Work package: Partner(s): Lead Partner: Config ID: CG-2.3-D2.1-UCY001-1.0-SRS Metrics & Benchmarks (WP2.3) UCY, TUM UCY CG-2.3-D2.1-UCY001-1.0
More informationQoS-based Decision Services in Grids
QoS-based Decision s in Grids Dimosthenis Kyriazis 1, Peer Hasselmeyer 2, Konstantinos Tserpes 1, Andreas Menychtas 1 and Theodora Varvarigou 1 1 Dept.of Electrical and Computer Engineering, National Technical
More information