Cargando…
Large Scale Network-Centric Distributed Systems /
A highly accessible reference offering a broad range of topics and insights on large scale network-centric distributed systems Evolving from the fields of high-performance computing and networking, large scale network-centric distributed systems continues to grow as one of the most important topics...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Wiley,
©2014.
|
| Colección: | Wiley series on parallel and distributed computing ;
85. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Large Scale Network-Centric Distributed Systems; Contents; Preface; Acknowledgments; List of Figures; List of Tables; List of Contributors; Part1: Multicore and Many-Core (MC) Systems-on-Chip; 1 A Reconfigurable On-Chip Interconnection Network for Large Multicore Systems; 1.1 Introduction; 1.1.1 Multicore and Many-Core Era; 1.1.2 On-Chip Communication; 1.1.3 Conventional Communication Mechanisms; 1.1.4 Network-on-Chip; 1.1.5 NoC Topology Customization; 1.1.6 NoCs and Topology Reconfigurations; 1.1.7 Reconfigurations Policy; 1.2 Topology and Reconfiguration; 1.3 The Proposed NoC Architecture.
- 1.3.1 Baseline Reconfigurable NoC1.3.2 Generalized Reconfigurable NoC; 1.4 Energy and Performance-Aware Mapping; 1.4.1 The Design Procedure for the Baseline Reconfigurable NoC; 1.4.1.1 Core-to-Network Mapping; 1.4.1.2 Topology and Route Generation; 1.4.2 Mapping and Topology Generation for Cluster-Based NoC; 1.5 Experimental Results; 1.5.1 Baseline Reconfigurable NoC; 1.5.2 Performance Evaluation with Cost Constraints; 1.5.3 Comparison Cluster-Based NoC; 1.6 Conclusion; References; 2 Compilers, Techniques, and Tools for Supporting Programming Heterogeneous Many/Multicore Systems.
- 2.1 Introduction2.2 Programming Models and Tools for Many/Multicore; 2.2.1 OpenMP; 2.2.2 Brook for GPUs; 2.2.3 Sh; 2.2.4 CUDA; 2.2.4.1 Memory Management; 2.2.4.2 Kernel Creation and Invocation; 2.2.4.3 Synchronization; 2.2.5 HMPP; 2.2.6 OpenCL; 2.2.7 OpenAcc; 2.3 Compilers and Support Tools; 2.3.1 RapidMind Multicore Development Platform; 2.3.2 OpenMPC; 2.3.3 Source-to-Source Transformers; 2.3.3.1 CHiLL; 2.3.3.2 Cetus; 2.3.3.3 ROSE Compiler; 2.3.3.4 LLVM; 2.4 CALuMET: A Tool for Supporting Software Parallelization; 2.4.1 Component-Based Source Code Analysis Architecture.
- 2.4.2 Algorithmic Recognizer Add-on2.4.3 Source Code Transformer for GPUs; 2.5 Conclusion; References; 3 A Multithreaded Branch-and-Bound Algorithm for Solving the Flow-Shop Problem on a Multicore Environment; 3.1 Introduction; 3.2 Flow-Shop Scheduling Problem; 3.3 Parallel Branch-and-Bound Algorithms; 3.3.1 Multiparametric Parallel Model; 3.3.2 Parallel Tree Exploration Model; 3.3.3 Parallel Evaluation of Bounds; 3.3.4 Parallel Evaluation of a Bound Model; 3.4 A Multithreaded Branch-and-Bound; 3.4.1 Low-Level Multithreaded B & B; 3.4.2 High-Level Multithreaded B & B.
- 3.5 The Proposed Multithreaded B & B3.6 Experiments and Results; 3.6.1 Flow-Shop Instances; 3.6.2 Hardware and Software Testbed; 3.6.3 Experimental Protocol; 3.6.4 Performance Analysis; 3.6.5 Page Faults; 3.6.6 Context Switches; 3.7 Conclusion; References; Part 2: Pervasive/Ubiquitous Computing and Peer-to-Peer Systems; 4 Large-Scale P2P-Inspired Problem-Solving: A Formal and Experimental Study; 4.1 Introduction; 4.1.1 Motivations; 4.1.2 Contribution and Results; 4.1.3 Related Works; 4.1.4 Outline; 4.2 Background; 4.3 A Pure Peer-to-Peer B & B Approach; 4.3.1 Preliminaries.