Advanced computational infrastructures for parallel and distributed adaptive applications / (Record no. 80603)

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control field 15863720
005 - DATE AND TIME OF LATEST TRANSACTION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 090811s2010 njua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2009031419
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470072943 (cloth)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0470072946 (cloth)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470558027
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)ocn182733648
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency DLC
Modifying agency BTCTA
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041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng.
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.58
Item number .A375 2010
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004/.35
Edition number 22
245 00 - TITLE STATEMENT
Title Advanced computational infrastructures for parallel and distributed adaptive applications /
Statement of responsibility, etc edited by Manish Parashar, Xiaolin Li.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, N.J. :
Name of publisher, distributor, etc John Wiley & Sons,
Date of publication, distribution, etc c2010.
300 ## - PHYSICAL DESCRIPTION
Extent xx, 518 pages:
Other physical details illustrations
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
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Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Wiley series on parallel and distributed computing
500 ## - GENERAL NOTE
General note ABOUT THE AUTHOR<br/>Manish Parashar, PhD, is Professor of Electrical and Computer Engineering at Rutgers University, where he is also the director of the Applied Software Systems Laboratory and director of the NSF Center for Autonomic Computing. He has received numerous awards, including the Rutgers Board of Trustees Award for Excellence in Research (2004-2005) and the NSF CAREER Award (1999).<br/>Xiaolin Li, PhD, is Assistant Professor of Computer Science at Oklahoma State University.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 ## - CONTENTS
Formatted contents note TABLE OF CONTENTS<br/>Preface xi<br/><br/>Contributors xv<br/><br/>Biographies xix<br/><br/>1. Introduction: Enabling Large-Scale Computational Science—Motivations, Requirements, and<br/>Challenges 1<br/>Manish Parashar and Xiaolin Li<br/><br/>Part I Adaptive Applications in Science and Engineering<br/><br/>2. Adaptive Mesh Refinement MHD Simulations of Tokamak Refueling 11<br/>Ravi Samtaney<br/><br/>3. Parallel Computing Engines for Subsurface Imaging Technologies 29<br/>Tian-Chyi J. Yeh, Xing Cai, Hans P. Langtangen, Junfeng Zhu, and Chuen-Fa Ni<br/><br/>4. PlaneWave Seismic Data: Parallel and Adaptive Strategies for Velocity Analysis and Imaging 45<br/>Paul L. Stoffa, Mrinal K. Sen, Roustam K. Seif, and Reynam C. Pestana<br/><br/>5. Data-Directed Importance Sampling for Climate Model Parameter Uncertainty Estimation 65<br/>Charles S. Jackson, Mrinal K. Sen, Paul L. Stoffa, and Gabriel Huerta<br/><br/>6. Adaptive Cartesian Methods for Modeling Airborne Dispersion 79<br/>Andrew Wissink, Branko Kosovic, Marsha Berger, Kyle Chand, and Fotini K. Chow<br/><br/>7. Parallel and Adaptive Simulation of Cardiac Fluid Dynamics 105<br/>Boyce E. Griffith, Richard D. Hornung, David M. McQueen, and Charles S. Peskin<br/><br/>8. Quantum Chromodynamics on the BlueGene/L Supercomputer 131<br/>Pavlos M. Vranas and Gyan Bhanot<br/><br/>Part II Adaptive Computational Infrastructures<br/><br/>9. The SCIJump Framework for Parallel and Distributed Scientific Computing 151<br/>Steven G. Parker, Kostadin Damevski, Ayla Khan, Ashwin Swaminathan, and Christopher R. Johnson<br/><br/>10. Adaptive Computations in the Uintah Framework 171<br/>Justin Luitjens, James Guilkey, Todd Harman, Bryan Worthen, and Steven G. Parker<br/><br/>11. Managing Complexity in Massively Parallel, Adaptive, Multiphysics Finite Element Applications 201<br/>Harold C. Edwards<br/><br/>12. GrACE: Grid Adaptive Computational Engine for Parallel Structured AMR Applications 249<br/>Manish Parashar and Xiaolin Li<br/><br/>13. Charm++ and AMPI: Adaptive Runtime Strategies via Migratable Objects 265<br/>Laxmikant V. Kale and Gengbin Zheng<br/><br/>14. The Seine Data Coupling Framework for Parallel Scientific Applications 283<br/>Li Zhang, Ciprian Docan, and Manish Parashar<br/><br/>Part III Dynamic Partitioning and Adaptive Runtime Management Frameworks<br/><br/>15. Hypergraph-Based Dynamic Partitioning and Load Balancing 313<br/>Umit V. Catalyurek, Doruk Bozda¢g, Erik G. Boman, Karen D. Devine, Robert Heaphy, and Lee A. Riesen<br/><br/>16. Mesh Partitioning for Efficient Use of Distributed Systems 335<br/>Jian Chen and Valerie E. Taylor<br/><br/>17. Variable Partition Inertia: Graph Repartitioning and Load Balancing for Adaptive Meshes 357<br/>Chris Walshaw<br/><br/>18. A Hybrid and Flexible Data Partitioner for Parallel SAMR 381<br/>Johan Steensland<br/><br/>19. Flexible Distributed Mesh Data Structure for Parallel Adaptive Analysis 407<br/>Mark S. Shephard and Seegyoung Seol<br/><br/>20. HRMS: Hybrid Runtime Management Strategies for Large-Scale Parallel Adaptive Applications 437<br/>Xiaolin Li and Manish Parashar<br/><br/>21. Physics-Aware Optimization Method 463<br/>Yeliang Zhang and Salim Hariri<br/><br/>22. DistDLB: Improving Cosmology SAMR Simulations on Distributed Computing Systems Through Hierarchical Load Balancing 479<br/>Zhiling Lan, Valerie E. Taylor, and Yawei Li<br/><br/>Index 503
520 ## - SUMMARY, ETC.
Summary, etc A unique investigation of the state of the art in design, architectures, and implementations of advanced computational infrastructures and the applications they support<br/>Emerging large-scale adaptive scientific and engineering applications are requiring an increasing amount of computing and storage resources to provide new insights into complex systems. Due to their runtime adaptivity, these applications exhibit complicated behaviors that are highly dynamic, heterogeneous, and unpredictable—and therefore require full-fledged computational infrastructure support for problem solving, runtime management, and dynamic partitioning/balancing. This book presents a comprehensive study of the design, architecture, and implementation of advanced computational infrastructures as well as the adaptive applications developed and deployed using these infrastructures from different perspectives, including system architects, software engineers, computational scientists, and application scientists. Providing insights into recent research efforts and projects, the authors include descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems.<br/><br/>The first part of the book focuses on high-performance adaptive scientific applications and includes chapters that describe high-impact, real-world application scenarios in order to motivate the need for advanced computational engines as well as to outline their requirements. The second part identifies popular and widely used adaptive computational infrastructures. The third part focuses on the more specific partitioning and runtime management schemes underlying these computational toolkits.<br/><br/>Presents representative problem-solving environments and infrastructures, runtime management strategies, partitioning and decomposition methods, and adaptive and dynamic applications<br/><br/>Provides a unique collection of selected solutions and infrastructures that have significant impact with sufficient introductory materials<br/><br/>Includes descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems<br/><br/>The cross-disciplinary approach of this reference delivers a comprehensive discussion of the requirements, design challenges, underlying design philosophies, architectures, and implementation/deployment details of advanced computational infrastructures. It makes it a valuable resource for advanced courses in computational science and software/systems engineering for senior undergraduate and graduate students, as well as for computational and computer scientists, software developers, and other industry professionals.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Parallel processing (Electronic computers)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Electronic data processing
General subdivision Distributed processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Adaptive computing systems.
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Parashar, Manish,
Dates associated with a name 1967-
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Li, Xiaolin,
Dates associated with a name 1973-
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Wiley series on parallel and distributed computing.
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text Full text available at Wiley Online Library Click here to view
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9780470558027
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Source of classification or shelving scheme
Item type EBOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Inventory number Full call number Barcode Date last seen Price effective from Item type
          COLLEGE LIBRARY COLLEGE LIBRARY LIC Gateway 2021-11-25 52041 004.35 Ad951 2010 CL-52041 2021-11-25 2021-11-25 EBOOK