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010 _z 2014005831 (print)
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020 _a9781118866672
_qAdobe PDF
020 _z9781118712078
_qePub
020 _z1118712072
_qePub
020 _a1118711890
020 _z1118866673
_qAdobe PDF
020 _a1306638712
020 _z9781118711897
_qOnline
020 _a9781306638715
020 _z9781118712054
_qcloth
020 _z1118712056
_qcloth
024 7 _a10.1002/9781118711897
_2doi
035 _a(CaBNVSL)mat08371513
035 _a(IDAMS)0b00006487da5f3a
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 0 0 _aQA76.88
082 0 0 _a004.1/1
_223
100 1 _aJeannot, Emmanuel,
_eauthor.
_929361
245 1 0 _aHigh performance computing on complex environments /
_cEmmanuel Jeannot, Julius Zilinskas.
264 1 _aHoboken, New Jersey :
_bJohn Wiley & Sons,
_c[2014]
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2014]
300 _a1 PDF (xxi, 395 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _6880-01
_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.
506 _aRestricted to subscribers or individual electronic text purchasers.
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.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
650 0 _aHigh performance computing.
_915802
655 4 _aElectronic books.
_93294
700 1 _a�eZilinskas, J.
_q(Julius),
_d1973-
_929362
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_929363
710 2 _aWiley,
_epublisher.
_929364
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
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8371513
942 _cEBK
999 _c74566
_d74566