Reconfigurable and Adaptive Computing

Book description

Reconfigurable computing techniques and adaptive systems are some of the most promising architectures for microprocessors. Reconfigurable and Adaptive Computing: Theory and Applications explores the latest research activities on hardware architecture for reconfigurable and adaptive computing systems.

The first section of the book covers reconfigurable systems. The book presents a software and hardware codesign flow for coarse-grained systems-on-chip, a video watermarking algorithm for the H.264 standard, a solution for regular expressions matching systems, and a novel field programmable gate array (FPGA)-based acceleration solution with MapReduce framework on multiple hardware accelerators.

The second section discusses network-on-chip, including an implementation of a multiprocessor system-on-chip platform with shared memory access, end-to-end quality-of-service metrics modeling based on a multi-application environment in network-on-chip, and a 3D ant colony routing (3D-ACR) for network-on-chip with three different 3D topologies.

The final section addresses the methodology of system codesign. The book introduces a new software–hardware codesign flow for embedded systems that models both processors and intellectual property cores as services. It also proposes an efficient algorithm for dependent task software–hardware codesign with the greedy partitioning and insert scheduling method (GPISM) by task graph.

Table of contents

  1. Front Cover (1/2)
  2. Front Cover (2/2)
  3. Contents
  4. List of Figures (1/2)
  5. List of Figures (2/2)
  6. List of Tables
  7. Preface
  8. Editors
  9. Contributors (1/2)
  10. Contributors (2/2)
  11. Chapter 1: Effective and Efficient Design Space Exploration for Heterogeneous Microprocessor Systems-on-Chip (1/5)
  12. Chapter 1: Effective and Efficient Design Space Exploration for Heterogeneous Microprocessor Systems-on-Chip (2/5)
  13. Chapter 1: Effective and Efficient Design Space Exploration for Heterogeneous Microprocessor Systems-on-Chip (3/5)
  14. Chapter 1: Effective and Efficient Design Space Exploration for Heterogeneous Microprocessor Systems-on-Chip (4/5)
  15. Chapter 1: Effective and Efficient Design Space Exploration for Heterogeneous Microprocessor Systems-on-Chip (5/5)
  16. Chapter 2: Integer DCT-Based Real-Time Video Watermarking for H.264 Encoder (1/4)
  17. Chapter 2: Integer DCT-Based Real-Time Video Watermarking for H.264 Encoder (2/4)
  18. Chapter 2: Integer DCT-Based Real-Time Video Watermarking for H.264 Encoder (3/4)
  19. Chapter 2: Integer DCT-Based Real-Time Video Watermarking for H.264 Encoder (4/4)
  20. Chapter 3: FPGA-Accelerated Algorithm for the Regular Expressions Matching System (1/6)
  21. Chapter 3: FPGA-Accelerated Algorithm for the Regular Expressions Matching System (2/6)
  22. Chapter 3: FPGA-Accelerated Algorithm for the Regular Expressions Matching System (3/6)
  23. Chapter 3: FPGA-Accelerated Algorithm for the Regular Expressions Matching System (4/6)
  24. Chapter 3: FPGA-Accelerated Algorithm for the Regular Expressions Matching System (5/6)
  25. Chapter 3: FPGA-Accelerated Algorithm for the Regular Expressions Matching System (6/6)
  26. Chapter 4: Case Study of Genome Sequencing on an FPGA : Survey and a New Perspective (1/5)
  27. Chapter 4: Case Study of Genome Sequencing on an FPGA : Survey and a New Perspective (2/5)
  28. Chapter 4: Case Study of Genome Sequencing on an FPGA : Survey and a New Perspective (3/5)
  29. Chapter 4: Case Study of Genome Sequencing on an FPGA : Survey and a New Perspective (4/5)
  30. Chapter 4: Case Study of Genome Sequencing on an FPGA : Survey and a New Perspective (5/5)
  31. Chapter 5: Interprocess Communication via Crossbar for Shared Memory Multiprocessor Systems-on-Chip (1/5)
  32. Chapter 5: Interprocess Communication via Crossbar for Shared Memory Multiprocessor Systems-on-Chip (2/5)
  33. Chapter 5: Interprocess Communication via Crossbar for Shared Memory Multiprocessor Systems-on-Chip (3/5)
  34. Chapter 5: Interprocess Communication via Crossbar for Shared Memory Multiprocessor Systems-on-Chip (4/5)
  35. Chapter 5: Interprocess Communication via Crossbar for Shared Memory Multiprocessor Systems-on-Chip (5/5)
  36. Chapter 6: Extended Quality of Service Modeling Based on Multiapplication Environment in Network-on-Chip (1/5)
  37. Chapter 6: Extended Quality of Service Modeling Based on Multiapplication Environment in Network-on-Chip (2/5)
  38. Chapter 6: Extended Quality of Service Modeling Based on Multiapplication Environment in Network-on-Chip (3/5)
  39. Chapter 6: Extended Quality of Service Modeling Based on Multiapplication Environment in Network-on-Chip (4/5)
  40. Chapter 6: Extended Quality of Service Modeling Based on Multiapplication Environment in Network-on-Chip (5/5)
  41. Chapter 7: Ant Colony Routing for Latency Reduction in 3D Networks-on-Chip (1/5)
  42. Chapter 7: Ant Colony Routing for Latency Reduction in 3D Networks-on-Chip (2/5)
  43. Chapter 7: Ant Colony Routing for Latency Reduction in 3D Networks-on-Chip (3/5)
  44. Chapter 7: Ant Colony Routing for Latency Reduction in 3D Networks-on-Chip (4/5)
  45. Chapter 7: Ant Colony Routing for Latency Reduction in 3D Networks-on-Chip (5/5)
  46. Chapter 8: Codem : Software/Hardware Codesign for Embedded Multicore Systems Supporting Hardware Services (1/5)
  47. Chapter 8: Codem : Software/Hardware Codesign for Embedded Multicore Systems Supporting Hardware Services (2/5)
  48. Chapter 8: Codem : Software/Hardware Codesign for Embedded Multicore Systems Supporting Hardware Services (3/5)
  49. Chapter 8: Codem : Software/Hardware Codesign for Embedded Multicore Systems Supporting Hardware Services (4/5)
  50. Chapter 8: Codem : Software/Hardware Codesign for Embedded Multicore Systems Supporting Hardware Services (5/5)
  51. Chapter 9: Greedy Partitioning and Insert Scheduling Algorithm for Hardware–Software Codesign on MPSoCs (1/5)
  52. Chapter 9: Greedy Partitioning and Insert Scheduling Algorithm for Hardware–Software Codesign on MPSoCs (2/5)
  53. Chapter 9: Greedy Partitioning and Insert Scheduling Algorithm for Hardware–Software Codesign on MPSoCs (3/5)
  54. Chapter 9: Greedy Partitioning and Insert Scheduling Algorithm for Hardware–Software Codesign on MPSoCs (4/5)
  55. Chapter 9: Greedy Partitioning and Insert Scheduling Algorithm for Hardware–Software Codesign on MPSoCs (5/5)
  56. Back Cover

Product information

  • Title: Reconfigurable and Adaptive Computing
  • Author(s): Nadia Nedjah, Chao Wang
  • Release date: October 2018
  • Publisher(s): Chapman and Hall/CRC
  • ISBN: 9781498731768