The Polder Computing Environment: a system for interactive distributed simulation
The paper provides an overview of an experimental, Grid‐like computing environment, Polder, and its components. Polder offers high‐performance computing and interactive simulation facilities to computational science. It was successfully implemented on a wide‐area cluster system, the Distributed ASCI...
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| Published in | Concurrency and computation Vol. 14; no. 13-15; pp. 1313 - 1335 |
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| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Chichester, UK
John Wiley & Sons, Ltd
01.11.2002
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| Subjects | |
| Online Access | Get full text |
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| Abstract | The paper provides an overview of an experimental, Grid‐like computing environment, Polder, and its components. Polder offers high‐performance computing and interactive simulation facilities to computational science. It was successfully implemented on a wide‐area cluster system, the Distributed ASCI Supercomputer. An important issue is an efficient management of resources, in particular multi‐level scheduling and migration of tasks that use PVM or sockets. The system can be applied to interactive simulation, where a cluster is used for high‐performance computations, while a dedicated immersive interactive environment (CAVE) offers visualization and user interaction. Design considerations for the construction of dynamic exploration environments using such a system are discussed, in particular the use of intelligent agents for coordination. A case study of simulatedabdominal vascular reconstruction is subsequently presented: the results of computed tomography or magnetic resonance imaging of a patient are displayed in CAVE, and a surgeon can evaluate the possible treatments by performing the surgeries virtually and analysing the resulting blood flow which is simulated using the lattice‐Boltzmann method. Copyright © 2002 John Wiley & Sons, Ltd. |
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| AbstractList | The paper provides an overview of an experimental, Grid‐like computing environment, Polder, and its components. Polder offers high‐performance computing and interactive simulation facilities to computational science. It was successfully implemented on a wide‐area cluster system, the Distributed ASCI Supercomputer. An important issue is an efficient management of resources, in particular multi‐level scheduling and migration of tasks that use PVM or sockets. The system can be applied to interactive simulation, where a cluster is used for high‐performance computations, while a dedicated immersive interactive environment (CAVE) offers visualization and user interaction. Design considerations for the construction of dynamic exploration environments using such a system are discussed, in particular the use of intelligent agents for coordination. A case study of simulatedabdominal vascular reconstruction is subsequently presented: the results of computed tomography or magnetic resonance imaging of a patient are displayed in CAVE, and a surgeon can evaluate the possible treatments by performing the surgeries virtually and analysing the resulting blood flow which is simulated using the lattice‐Boltzmann method. Copyright © 2002 John Wiley & Sons, Ltd. Abstract The paper provides an overview of an experimental, Grid‐like computing environment, Polder, and its components. Polder offers high‐performance computing and interactive simulation facilities to computational science. It was successfully implemented on a wide‐area cluster system, the Distributed ASCI Supercomputer. An important issue is an efficient management of resources, in particular multi‐level scheduling and migration of tasks that use PVM or sockets. The system can be applied to interactive simulation, where a cluster is used for high‐performance computations, while a dedicated immersive interactive environment (CAVE) offers visualization and user interaction. Design considerations for the construction of dynamic exploration environments using such a system are discussed, in particular the use of intelligent agents for coordination. A case study of simulatedabdominal vascular reconstruction is subsequently presented: the results of computed tomography or magnetic resonance imaging of a patient are displayed in CAVE, and a surgeon can evaluate the possible treatments by performing the surgeries virtually and analysing the resulting blood flow which is simulated using the lattice‐Boltzmann method. Copyright © 2002 John Wiley & Sons, Ltd. |
| Author | Belleman, R. G. Bubak, M. Iskra, K. A. Santoso, J. Bal, H. E. van Albada, G. D. Sloot, P. M. A. Spoelder, H. J. W. |
| Author_xml | – sequence: 1 givenname: K. A. surname: Iskra fullname: Iskra, K. A. email: kamil@science.uva.nl organization: Section Computational Science, Universiteit van Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, The Netherlands – sequence: 2 givenname: R. G. surname: Belleman fullname: Belleman, R. G. organization: Section Computational Science, Universiteit van Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, The Netherlands – sequence: 3 givenname: G. D. surname: van Albada fullname: van Albada, G. D. organization: Section Computational Science, Universiteit van Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, The Netherlands – sequence: 4 givenname: J. surname: Santoso fullname: Santoso, J. organization: Section Computational Science, Universiteit van Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, The Netherlands – sequence: 5 givenname: P. M. A. surname: Sloot fullname: Sloot, P. M. A. organization: Section Computational Science, Universiteit van Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, The Netherlands – sequence: 6 givenname: H. E. surname: Bal fullname: Bal, H. E. organization: Division of Mathematics and Computer Science, Faculty of Sciences, Vrije Universiteit, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands – sequence: 7 givenname: H. J. W. surname: Spoelder fullname: Spoelder, H. J. W. organization: Division of Physics and Astronomy, Faculty of Sciences, Vrije Universiteit, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands – sequence: 8 givenname: M. surname: Bubak fullname: Bubak, M. organization: Institute of Computer Science, AGH, al. Mickiewicza 30, 30-059 Kraków, Poland |
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| Cites_doi | 10.1145/273011.273014 10.1002/(SICI)1097-0363(19991130)31:6<1019::AID-FLD915>3.0.CO;2-I 10.1109/AERO.1997.577619 10.1145/506117.506123 10.1162/pres.1995.4.2.121 10.1146/annurev.fluid.29.1.399 10.1016/S0167-739X(01)00037-1 10.1145/229459.229467 10.1016/S0010-4655(98)00025-3 10.1016/0167-739X(95)00035-Q 10.1177/109434209701100205 10.1016/0004-3702(94)00004-K 10.1161/01.CIR.100.22.2284 10.1007/BFb0100642 10.1109/MCSE.1996.556508 10.1145/262171.262177 10.1007/3-540-44444-0_19 10.1109/40.342015 10.1109/HPDC.1996.546174 10.1114/1.140 10.1109/2.730737 10.1007/BFb0022292 10.1145/378993.379004 10.1016/S0167-739X(98)00024-7 10.1145/506106.506115 10.1016/S0167-8191(98)00079-9 10.1146/annurev.fluid.30.1.329 10.1103/PhysRevLett.80.716 10.1142/S0129054101000692 |
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| Snippet | The paper provides an overview of an experimental, Grid‐like computing environment, Polder, and its components. Polder offers high‐performance computing and... Abstract The paper provides an overview of an experimental, Grid‐like computing environment, Polder, and its components. Polder offers high‐performance... |
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| StartPage | 1313 |
| SubjectTerms | dynamic load balancing grid computing immersive environment interactive distributed simulation problem solving environments resource management |
| Title | The Polder Computing Environment: a system for interactive distributed simulation |
| URI | https://api.istex.fr/ark:/67375/WNG-Z97FFZMK-Q/fulltext.pdf https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fcpe.692 |
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