High performance computing on complex environments /
With 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...
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| Άλλοι συγγραφείς: | |
| Μορφή: | Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Hoboken, New Jersey :
John Wiley & Sons,
[2014]
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| Σειρά: | Wiley series on parallel and distributed computing.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Series; 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
- 2.2 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
- Chapter 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
- 5.7 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
- 7.1 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
