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008 140210s2014 njua ob 001 0 eng
010 _a 2014005831
020 _a9781118712078
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020 _a9781118711897
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082 0 0 _a004.1/1
_223
100 1 _aJeannot, Emmanuel.
245 1 0 _aHigh performance computing on complex environments /
_cEmmanuel Jeannot, Julius Zilinskas.
_h[electronic resource]
264 1 _aHoboken, New Jersey :
_bJohn Wiley & Sons,
_c[2014]
300 _a1 online resource (xxi, 395 pages) :
_billustrations.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aWiley series on parallel and distributed computing
504 _aIncludes bibliographical references and index.
505 0 _aSeries; Title Page; Copyright; Dedication; Contributors; Preface; Part I: Introduction; Chapter 1: Summary of the Open European Network for High-Performance Computing in Complex Environments; 1.1 Introduction and Vision; 1.2 Scientific Organization; 1.3 Activities of The project; 1.4 Main Outcomes of the Action; 1.5 Contents of The Book; Acknowledgment; Part II: Numerical Analysis for Heterogeneous and Multicore Systems; Chapter 2: On the Impact of the Heterogeneous Multicore and Many-Core Platforms on Iterative Solution Methods and Preconditioning Techniques; 2.1 Introduction
505 8 _a2.2 General Description of Iterative Methods and Preconditioning2.3 Preconditioning Techniques; 2.4 Defect-Correction Technique; 2.5 Multigrid Method; 2.6 Parallelization of Iterative Methods; 2.7 Heterogeneous Systems; 2.8 Maintenance and Portability; 2.9 Conclusion; Acknowledgments; References; Chapter 3: Efficient Numerical Solution of 2D Diffusion Equation on Multicore Computers; 3.1 Introduction; 3.2 Test Case; 3.3 Parallel Implementation; 3.4 Results; 3.5 Discussion; 3.6 Conclusion; Acknowledgment; References
505 8 _aChapter 4: Parallel Algorithms for Parabolic Problems on Graphs in Neuroscience4.1 Introduction; 4.2 Formulation of the Discrete Model; 4.3 Parallel Algorithms; 4.4 Computational Results; 4.5 Conclusions; Acknowledgments; References; Part III: Communication and Storage Considerations in High-Performance Computing; Chapter 5: An Overview of Topology Mapping Algorithms and Techniques in High-Performance Computing; 5.1 Introduction; 5.2 General Overview; 5.3 Formalization of the Problem; 5.4 Algorithmic Strategies for Topology Mapping; 5.5 Mapping Enforcement Techniques; 5.6 Survey of Solutions
505 8 _a5.7 Conclusion and Open ProblemsAcknowledgment; References; Chapter 6: Optimization of Collective Communication for Heterogeneous HPC Platforms; 6.1 Introduction; 6.2 Overview of Optimized Collectives and Topology-Aware Collectives; 6.3 Optimizations of Collectives on Homogeneous Clusters; 6.4 Heterogeneous Networks; 6.5 Topology- and Performance-Aware Collectives; 6.6 Topology as Input; 6.7 Performance as Input; 6.8 Non-MPI Collective Algorithms for Heterogeneous Networks; 6.9 Conclusion; Acknowledgments; References; Chapter 7: Effective Data Access Patterns on Massively Parallel Processors
505 8 _a7.1 Introduction7.2 Architectural Details; 7.3 K-Model; 7.4 Parallel Prefix Sum; 7.5 Bitonic Sorting Networks; 7.6 Final Remarks; Acknowledgments; References; Chapter 8: Scalable Storage I/O Software for Blue Gene Architectures; 8.1 Introduction; 8.2 Blue Gene System Overview; 8.3 Design and Implementation; 8.4 Conclusions and Future Work; Acknowledgments; References; Part IV: Efficient Exploitation of Heterogeneous Architectures; Chapter 9: Fair Resource Sharing for Dynamic Scheduling of Workflows on Heterogeneous Systems; 9.1 Introduction; 9.2 Concurrent Workflow Scheduling
520 _aWith recent changes in multicore and general-purpose computing on graphics processing units, the way parallel computers are used and programmed has drastically changed. This book provides recent research results in high-performance computing on complex environments, information on how to efficiently exploit heterogeneous and hierarchical architectures and distributed systems, detailed studies on the impact of applying heterogeneous computing practices to real problems, and applications varying from remote sensing to tomography. Topics include: numerical analysis for heterogeneous and multicore systems; optimization of communication for high performance heterogeneous and hierarchical platforms; efficient exploitation of heterogeneous architectures, hybrid CPU+GPU, and distributed systems; energy awareness in high-performance computing; and applications of heterogeneous high-performance computing. --
_cEdited summary from book.
588 0 _aPrint version record and CIP data provided by publisher.
650 0 _aHigh performance computing.
650 4 _aHigh performance computing.
650 7 _aCOMPUTERS
_xComputer Literacy.
_2bisacsh
650 7 _aCOMPUTERS
_xComputer Science.
_2bisacsh
650 7 _aCOMPUTERS
_xData Processing.
_2bisacsh
650 7 _aCOMPUTERS
_xHardware
_xGeneral.
_2bisacsh
650 7 _aCOMPUTERS
_xInformation Technology.
_2bisacsh
650 7 _aCOMPUTERS
_xMachine Theory.
_2bisacsh
650 7 _aCOMPUTERS
_xReference.
_2bisacsh
650 7 _aHigh performance computing.
_2fast
_0(OCoLC)fst00956032
650 7 _aHigh performance computing.
_2local
655 4 _aElectronic books.
655 0 _aElectronic books.
700 1 _aŽilinskas, J.
_q(Julius),
_d1973-
776 0 8 _iPrint version:
_aJeannot, Emmanuel.
_tHigh performance computing on complex environments.
_dHoboken, New Jersey : John Wiley & Sons, [2014]
_z9781118712054
_w(DLC) 2013048363
_w(OCoLC)861477993
830 0 _aWiley series on parallel and distributed computing.
856 4 0 _uhttp://onlinelibrary.wiley.com/book/10.1002/9781118711897
_zWiley Online Library
942 _2ddc
_cBK
999 _c207276
_d207276