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网上多核:众核系统的网络结构和映射算法 (英文版)

网上多核:众核系统的网络结构和映射算法  (英文版)

定 价:¥98.00

作 者: Hu Wei Shi,QingSong Wang ... 著
出版社: 科学出版社
丛编项:
标 签: 暂缺

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ISBN: 9787030644169 出版时间: 2020-06-01 包装: 平装
开本: 16开 页数: 171 字数:  

内容简介

  Chip multiprocessors have been the mainstream in computer architecture. Such processors have more than one core on a single chip to obtain higher performance and lower power consumption. However, when more and more cores are integated onto the chip, the increasing number of cores makes the communication become the center of the on-chip architecture. It has become a new challenge on how to utilize these integrated cores in a single area with high efficiency. This book provides the explorative research on the above problems. There are four main topics discussed in this book. The first is the hybrid on-chip structure, which consists of the on-chip network and the on-chip bus. The bus is used to connect the local neighbours, and the network is used to connect the remote nodes. And then this book provides discussions on on-chip structure and optimizations including the dynamic reconfigurable network, thedesign of critical path-driven routers and the transmission bypass optimization. They are used to achieve better performance. The third topic focuses on the on-chip memory design, which is called the on-chip networked memory system. The memories are connected by the network with distributed memory management units. At last, the mapping algorithms are discussed, which aim to map the tasks to the on-chip cores with high efficiency and low-power consumption. This book has provided some works innetwork-based manycore systems. The designs and algorithms provided in this book are potentialsolutions for multicore/manycore architecture. It can be used as the reference for future work and for the researchers who focus on the computer architecture.

作者简介

暂缺《网上多核:众核系统的网络结构和映射算法 (英文版)》作者简介

图书目录

Contents
Preface
1 Introduction to NoC 1
1.1 Development of Computer Architecture 1
1.2 Chip Multiprocessor 3
1.3 On-chip Structure and NoC 6
1.4 Summary 10
2 Hybrid Network and Bus On-Chip Interconnection 11
2.1 Introduction 11
2.2 Hybrid On-chip Interconnection with NoC and the Bus 13
2.2.1 Motivation 13
2.2.2 On-Chip Structure 14
2.2.3 Support for Thread Scheduling 15
2.2.4 Experiments and Results 16
2.3 Dynamic Configurable On-Qiip Network with the Hybrid Bus and Networks 18
2.3.1 Motivation 18
2.3.2 Bus/NoC Hybrid Interconnection 19
2.3.3 Component Design 21
2.3.4 Experiment and Results 23
2.4 Summary 28
3 On-Chip Structure and Optimizations 30
3.1 Introduction 30
3.2 Dynamic Reconfigurable Networks for I/O-Supported Parallel Applications 31
3.2.1 Background 31
3.2.2 Architecture Design 33
3.2.3 Implementation 37
3.2.4 Experiments and Analysis 42
3.3 Critical Path-Driven Routers for the On-Chip Network 46
3.3.1 Background 46
3.3.2 Motivation 48
3.3.3 Architecture 51
3.3.4 Implementation 53
3.3.5 Experiments and Analysis 56
3.4 Transmission Bypass Optimization for On-Chip Cores 60
3.4.1 Background 60
3.4.2 Motivation 61
3.4.3 Design 62
3.4.4 Implementation 65
3.4.5 Experiments and Analysis 68
3.5 Summary 75
4 On-Chip Networked Memory System for NoC 77
4.1 Introduction 77
4.2 Network Main Memory Architecture for NoC 78
4.2.1 Background 78
4.2.2 Motivation 80
4.2.3 Basic NMM Architecture 81
4.2.4 Management of NMM and Software Model 85
4.2.5 Experiments and Analysis 87
4.3 Distributed Memory Management Units Architecture for NoC 94
4.3.1 Background 94
4.3.2 Motivation 98
4.3.3 Architecture Model 100
4.3.4 Experiments and Analysis 104
4.4 Summary 108
5 Efficient Task Mapping Algorithm with Low-Power Design for NoC 110
5.1 Introduction 110
5.2 Efficient Task Mapping Algorithm with Power-Aware Optimization for NoC 111
5.2.1 Background Ill
5.2.2 Motivation 112
5.2.3 System Model 114
5.2.4 Proposed Algorithm Design 119
5.2.5 Experiments and Analysis 129
5.3 Energy-Efficient Design of the Microkernel-Based On-Chip OS for NoC 133
5.3.1 Background 133
5.3.2 Motivation 134
5.3.3 Design Overview 136
5.3.4 Distributed On-Chip Operating System 139
5.3.5 Experimental Results and Analysis 144
5.4 Summary 151
6 Conclusions 153
References 156

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