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Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications 1st ed. 2016 [Kõva köide]

  • Formaat: Hardback, 122 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 40 Illustrations, color; 14 Illustrations, black and white; XV, 122 p. 54 illus., 40 illus. in color., 1 Hardback
  • Sari: Springer Series in Advanced Microelectronics 55
  • Ilmumisaeg: 14-Mar-2016
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811005893
  • ISBN-13: 9789811005893
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  • Formaat: Hardback, 122 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 40 Illustrations, color; 14 Illustrations, black and white; XV, 122 p. 54 illus., 40 illus. in color., 1 Hardback
  • Sari: Springer Series in Advanced Microelectronics 55
  • Ilmumisaeg: 14-Mar-2016
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811005893
  • ISBN-13: 9789811005893
Teised raamatud teemal:
This book presents an evaluation methodology to design future FPGA fabrics incorporating hard embedded blocks (HEBs) to accelerate applications. This methodology will be useful for selection of blocks to be embedded into the fabric and for evaluating the performance gain that can be achieved by such an embedding. The authors illustrate the use of their methodology by studying the impact of HEBs on two important bioinformatics applications: protein docking and genome assembly. The book also explains how the respective HEBs are designed and how hardware implementation of the application is done using these HEBs. It shows that significant speedups can be achieved over pure software implementations by using such FPGA-based accelerators. The methodology presented in this book may also be used for designing HEBs for accelerating software implementations in other domains besides bioinformatics. This book will prove useful to students, researchers, and practicing engineers alike.
1 Introduction
1(8)
1.1 Background
1(4)
1.1.1 Protein Docking
3(1)
1.1.2 Genome Assembly
4(1)
1.2 DSE of Application Acceleration Using FPGAs with Hard Embedded Blocks
5(4)
1.2.1 Challenges in Design Space Exploration
6(2)
References
8(1)
2 Related Work
9(20)
2.1 Accelerator Architectures
9(2)
2.1.1 Challenges in Designing Accelerators
10(1)
2.2 FPGA-Based Acceleration
11(6)
2.2.1 FPGA Architecture
11(2)
2.2.2 FPGA-Based Accelerators
13(1)
2.2.3 Hard Embedded Blocks in FPGAs
14(3)
2.3 Bioinformatics
17(7)
2.3.1 Protein Docking
18(3)
2.3.2 Genome Assembly
21(3)
2.4 Summary
24(5)
References
24(5)
3 Methodology for Implementing Accelerators
29(10)
3.1 Design Space Exploration
29(3)
3.2 Tools for Carrying Out Design Space Exploration
32(2)
3.2.1 Profiling
32(2)
3.3 Design of FPGAs with Hard Embedded Blocks
34(1)
3.3.1 VPR Methodology
34(1)
3.3.2 VEB Methodology
34(1)
3.4 Methodology for Designing FPGAs with Custom Hard Embedded Blocks
35(2)
3.4.1 Performance Estimation of Application Acceleration
37(1)
3.5 Summary
37(2)
References
37(2)
4 FPGA-Based Acceleration of Protein Docking
39(16)
4.1 FTDock Application
39(6)
4.1.1 Shape Complementarity
41(2)
4.1.2 Electrostatic Complementarity
43(2)
4.2 Profiling Results
45(1)
4.2.1 Need to Speedup
45(1)
4.2.2 Earlier Attempts to Speedup
46(1)
4.3 Choice of Single Precision
46(1)
4.4 FPGA Resource Mapping
47(3)
4.5 Estimation Results
50(3)
4.6 Summary
53(2)
References
54(1)
5 FPGA-Based Acceleration of De Novo Genome Assembly
55(26)
5.1 Application
55(3)
5.1.1 Related Work with FPGA-Based Acceleration
57(1)
5.2 Approach
58(7)
5.2.1 Algorithm
59(3)
5.2.2 Algorithm to Architecture
62(3)
5.3 Hardware Implementation
65(7)
5.3.1 FASTA File to Bit File Converter
67(1)
5.3.2 Processing Element Design
68(1)
5.3.3 Prefilter Design
69(1)
5.3.4 Extender Design
70(2)
5.4 Results and Discussion
72(6)
5.4.1 Resource Utilization and Operating Frequency
72(2)
5.4.2 Speedups over Software
74(3)
5.4.3 Quality
77(1)
5.5 Summary
78(3)
References
79(2)
6 Design of Accelerators with Hard Embedded Blocks
81(20)
6.1 Acceleration of FTDock Using Hard Embedded Blocks
81(9)
6.1.1 Related Work
81(1)
6.1.2 FPGA Resource Mapping
82(2)
6.1.3 Hard Embedded Block Design Space Exploration
84(2)
6.1.4 Results and Discussion
86(4)
6.2 Acceleration of Genome Assembly Using Hard Embedded Blocks
90(8)
6.2.1 Algorithm---Recap
91(1)
6.2.2 FPGA Resource Mapping
91(1)
6.2.3 Hard Embedded Block Design Space Exploration
92(2)
6.2.4 Results and Discussion
94(4)
6.3 Summary
98(3)
References
98(3)
7 System-Level Design Space Exploration
101(16)
7.1 Introduction
101(1)
7.2 Design Space Exploration
102(6)
7.2.1 C-Implementation
103(2)
7.2.2 Hardware Implementation
105(2)
7.2.3 System-C Implementation
107(1)
7.3 Multi-FPGA Implementation
108(1)
7.4 Results and Discussion
109(5)
7.4.1 Single-FPGA
109(2)
7.4.2 Multi FPGA
111(3)
7.5 Summary
114(3)
References
116(1)
8 Future Directions
117(4)
Index 121
B. Sharat Chandra Varma is Research Associate in the Department of Electrical & Electronic Engineering at The University of Hong Kong, Hong Kong. He obtained his PhD from IIT Delhi, New Delhi. He completed his B.E. (2003) from Visvesvaraya Technological University Karnataka and MSc. (2007) from Manipal University, Karnataka. His research interest areas are re-configurable computing, FPGA, hardware-software co-design, hardware accelerators, and computer architecture. Dr. Varma has over 10 years of research and industrial experience and has several journal publications to his credit.

Kolin Paul is presently Associate Professor with the department of Computer Science and Engineering at Indian Institute of Technology Delhi, New Delhi. His academic degrees include M.Sc. (1995) from Jadavpur University and Ph.D. (2002) from Bengal Engineering College, Calcutta, India. Dr. Paul has several papers published in refereed journal and conference proceedings.

M. Balakrishnan isa Professor in the CSE Department at IIT Delhi, New Delhi, India. He completed his PhD in 1984 from IIT Delhi. He has 16 journal articles, 63 refereed conference publications, one book chapter and two patents to his credit. Dr. Balakrishnan has been a part of many research projects and consultancies from leading EDA/VLSI companies. He is a reviewer for major international journals, a member of key academic bodies. He has supervised 8 PhDs, 3 MS(R) and 78 M.Tech students. His areas of specialization are behavioral and system level synthesis, system level design and modeling, computer architecture, hardware-software co-design, embedded system design, and assistive devices for the visually impaired.