Preface xv
Contributors xvii
1 Low Power Multicore Processors for Embedded Systems 11.1 Multicore Chip with Highly Efficient Cores 1
1.2 SuperH RISC Engine Family (SH) Processor Cores 5
1.3 SH-X: A Highly Efficient CPU Core 9
1.4 SH-X FPU: A Highly Efficient FPU 20
1.5 SH-X2: Frequency and Efficiency Enhanced Core 33
1.6 SH-X3: Multicore Architecture Extension 34
1.7 SH-X4: ISA and Address Space Extension 47
2 Special-Purpose Hardware for Computational Biology 612.1 Molecular Dynamics Simulations on Graphics Processing Units 62
2.2 Special-Purpose Hardware and Network Topologies for MD Simulations 72
2.3 Quantum MC Applications on Field-Programmable Gate Arrays 77
2.4 Conclusions and Future Directions 82
3 Embedded GPU Design 853.1 Introduction 85
3.2 System Architecture 86
3.3 Graphics Modules Design 88
3.4 System Power Management 95
3.5 Implementation Results 99
3.6 Conclusion 102
4 Low-Cost VLSI Architecture for Random Block-Based Access of Pixels in Modern Image Sensors 1074.1 Introduction 107
4.2 The DVP Interface 108
4.3 The iBRIDGE-BB Architecture 109
4.4 Hardware Implementation 116
4.5 Conclusion 123
5 Embedded Computing Systems on FPGAs 1275.1 FPGA Architecture 128
5.2 FPGA Confi guration Technology 129
5.3 Software Support 133
5.4 Final Summary of Challenges and Opportunities for Embedded Computing Design on FPGAs 135
6 FPGA-Based Emulation Support for Design Space Exploration 1396.1 Introduction 139
6.2 State of the Art 140
6.3 A Tool for Energy-Aware FPGA-Based Emulation: The MADNESS Project Experience 144
6.4 Enabling FPGA-Based DSE: Runtime-Reconfi gurable Emulators 147
6.5 Use Cases 161
7 FPGA Coprocessing Solution for Real-Time Protein Identifi cation Using Tandem Mass Spectrometry 1697.1 Introduction 169
7.2 Protein Identifi cation by Sequence Database Searching Using MS/MS Data 171
7.3 Reconfi gurable Computing Platform 174
7.4 FPGA Implementation of the MS/MS Search Engine 176
7.5 Summary 180
8 Real-Time Confi gurable Phase-Coherent Pipelines 1858.1 Introduction and Purpose 185
8.2 History and Related Methods 188
8.3 Implementation Framework 191
8.4 Prototype Implementation 204
8.5 Assessment Compared with Related Methods 207
9 Low Overhead Radiation Hardening Techniques for Embedded Architectures 2119.1 Introduction 211
9.2 Recently Proposed SEU Tolerance Techniques 213
9.3 Radiation-Hardened Reconfi gurable Array with Instruction Rollback 223
9.4 Conclusion 234
10 Hybrid Partially Adaptive Fault-Tolerant Routing for 3D Networks-on-Chip 23910.1 Introduction 239
10.2 Related Work 240
10.3 Proposed 4NP-First Routing Scheme 242
10.4 Experiments 250
10.5 Conclusion 255
11 Interoperability in Electronic Systems 25911.1 Interoperability 259
11.2 The Basis for Interoperability: The OSI Model 261
11.3 Hardware 263
11.4 Firmware 266
11.5 Partitioning the System 268
11.6 Examples of Interoperable Systems 270
12 Software Modeling Approaches for Presilicon System Performance Analysis 27312.1 Introduction 273
12.2 Methodologies 275
12.3 Results 283
12.4 Conclusion 288
13 Advanced Encryption Standard (AES) Implementation in Embedded Systems 29113.1 Introduction 291
13.2 Finite Field 292
13.3 The AES 293
13.4 Hardware Implementations for AES 300
13.5 High-Speed AES Encryptor with Efficient Merging Techniques 306
13.6 Conclusion 315
14 Reconfi gurable Architecture for Cryptography over Binary Finite Fields 31914.1 Introduction 319
14.2 Background 320
14.3 Reconfigurable Processor 333
14.4 Results 350
14.5 Conclusions 358
References 359
Index 363
KRZYSZTOF (KRIS) INIEWSKI, PhD, is managing R&D atRedlen Technologies in Vancouver, Canada. He is also President ofCMOS Emerging Technologies, an organization of high-tech eventscovering communications, microsystems, optoelectronics, andsensors. Dr. Iniewski has also held numerous faculty and managementpositions at University of Toronto, University of Alberta, SimonFraser University, and PMC-Sierra, Inc. He has published over 100research papers in international journals and has written andedited several books.
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