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Multicore Software Development Techniques: Applications, Tips, and Tricks.
This book provides a set of practical processes and techniques used for multicore software development. It is written with a focus on solving day to day problems using practical tips and tricks and industry case studies to reinforce the key concepts in multicore software development. Coverage inclu...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Elsevier Ltd.,
2015.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Multicore Software Development Techniques; Copyright Page; Dedication; Contents; 1 Principles of Parallel Computing; 1.1 Concurrency versus Parallelism; 1.2 Symmetric and Asymmetric Multiprocessing; 1.2.1 Symmetric Multiprocessing; 1.2.2 Asymmetric Multiprocessing; 1.3 Parallelism Saves Power; 1.3.1 Limit: "Hidden Parallelism" Gains are Slowing Down; 1.3.2 Another Limit: Chip Yield and Process Technologies; 1.3.3 Another Limit: Basic Laws of Physics and the Speed of Light; 1.4 Key Challenges of Parallel Computing; 1.4.1 Finding Enough Parallelism; 1.4.2 Data Dependencies
- 1.4.3 Achieving the Right Level of Granularity1.4.4 Locality and Parallelism; 1.4.5 Load Imbalance; 1.4.6 Speedup; 1.4.7 Directed Graphs; 2 Parallelism in All of Its Forms; 2.1 Bit-Level Parallelism; 2.2 Instruction-Level Parallelism (ILP); 2.3 Simultaneous Multithreading; 2.4 Single Instruction, Multiple Data (SIMD); 2.5 Data Parallelism; 2.6 Task Parallelism; 2.7 Acceleration and Offload Engines; 3 Multicore System Architectures; 3.1 Shared Memory Multicore Systems; 3.2 Cache Coherency; 3.3 Shared Data Synchronization; 3.4 Distributed Memory; 3.5 Symmetric Multiprocessing
- 3.6 Asymmetric Multiprocessing3.7 Hybrid Approaches; 3.8 Speaking of Cores; 3.9 Graphical Processing Units (GPU); 3.10 Putting It All Together; 4 Multicore Software Architectures; 4.1 Multicore Software Architectures; 4.1.1 Master/Worker; 4.1.2 Peer; 4.1.3 Pipelined; 4.2 A Decision Tree Approach to Selecting a Multicore Architecture; 4.2.1 Decision 1: Select the Programming Model; 4.2.2 Decision 2: Choose the Operating System Framework; 4.2.3 Decision 3: Determine the Control Plane and Data Plane Model
- 4.2.4 Decisions 4 and 5: Choose the Type of Operating System Needed for the Control Plane and Data Plane4.2.5 Decision 6: Determine the Type of Acceleration Needed; 5 Multicore Software Development Process; 5.1 Multicore Programming Models; 6 Putting it All Together, A Case Study of Multicore Development; 6.1 Multiple-Single-Cores; 6.2 Cooperating-Multiple-Cores; 6.3 Getting Started; 6.3.1 JPEG Encoding Application; 6.4 System Requirements; 6.4.1 Intercore Communication; 6.4.2 Master-and-Slaves Implementation; 7 Multicore Virtualization; 7.1 Hypervisor Classifications
- 7.2 Virtualization Use Cases for Multicore7.3 Linux Hypervisors; 7.4 Virtual Networking in Multicore; 7.5 I/O Activity in a Virtualized Environment; 7.6 Direct Device Assignment; 8 Performance and Optimization of Multicore Systems; 8.1 Select the Right "Core" for Your Multicore; 8.2 Improve Serial Performance before Migrating to Multicore (Especially ILP); 8.3 Achieve Proper Load Balancing (SMP Linux) and Scheduling; 8.4 Improve Data Locality; 8.5 Reduce or Eliminate False Sharing; 8.6 Use Affinity Scheduling When Necessary; 8.7 Apply the Proper Lock Granularity and Frequency