Parallel Computing for Real-time Signal Processing and Control

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Springer Science & Business Media, Apr 4, 2003 - Technology & Engineering - 254 pages

The computing performance demands of modern real-time signal processing and control applications are increasing rapidly. The use of multiple processors operating in parallel allows several instructions to be dealt with simultaneously, so the requirement for "real-time" is now much easier to meet. Parallel Computing for Real-time Signal Processing and Control introduces students to the advantages of this important capability within an engineering framework. The ability of parallel processing to deal with common signal processing and control algorithms is explored. The book:

• Emphasises the relationship between the computing requirements of algorithms and the appropriate choice of architectures in successful computing strategies.

• Demonstrates the identification of processor capabilities and how to exploit them to the fullest for different tasks.

• Clearly states objectives in each chapter to allow the student to monitor his/her progress.

• Uses examples and end-of-chapter exercises to facilitate self-study and guided tuition.

• Offers case studies that put theoretical concepts into a practical context.

Written in a tutorial style with a logical exploratory approach, Parallel Computing for Real-time Signal Processing and Control is an ideal introduction to this powerful paradigm. For advanced students in parallel computing, control and signal processing disciplines, it will be an invaluable tool in learning to get the best from their computer systems.

 

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Contents

1 Introduction
1
13 Realtime Systems and Parallel Processing
4
14 Basic Components of Parallel Processing
6
Tasks Processes Processors and Basic Characteristics
7
16 Levels of Parallelism
8
Steps Involved
9
172 Assigning Tasks to Processes
10
182 Scaleup
11
552 Interprocess Communication
117
554 Granularity for Parallel Thread Execution
118
56 Case Study
119
562 Concurrent Multithreading with Visual and File IO
124
563 Performance Comparison with Concurrent Programs
128
57 Summary
134
6 Algorithm Analysis and Design
137
63 Data and Control Dependencies of Algorithms
139

183 Fault Tolerance
13
192 Structuring Tasks
14
195 Message Passing
15
Some Applications
16
1104 Satellite Radar and Sonar Applications
17
1107 Signal Processing and Control
18
113 Research Scope
19
114 Summary
20
2 Parallel Architectures
23
23 Classifications
24
232 Classification Based on Memory Arrangement and Communication among PEs
29
233 Classification Based on Interconnections between PEs and Memory Modules
31
234 Classification Based on Characteristic Nature of Processing Elements
41
235 Specific Types of Parallel Architectures
43
24 Summary
51
25 Exercises
52
3 Performance Evaluation Issues in Realtime Computing
55
33 Performance Evaluation Issues
57
332 Algorithms
60
333 Software Issues
61
334 Cost Consideration
62
34 Case Study
64
341 Interprocessor Communication
65
342 Compiler Efficiency
69
343 Code Optimisation
71
35 Summary
78
4 Performance Metrics
81
43 Sequential Processing
84
44 Parallel Processing
85
442 Heterogeneous Architectures
88
443 TasktoProcessor Allocation
90
45 Interpretations
91
452 Linear Characterisation over a Range of Task Sizes
93
453 Piecewise Linear Characterisation
96
46 Case Study
101
461 Sequential Computing
102
462 Homogeneous Parallel Computing
103
463 Heterogeneous Parallel Computing
104
47 Summary
108
5 Parallel Programming and Multithreading
111
53 Parallel Programming Languages
113
54 Parallel Programming Model
114
55 Multithreading in Multiprocessing
115
551 Thread or Process Synchronisation
116
64 Granularity and Regularity
140
65 Analysis of Algorithms with Computational Aspects
141
652 Adaptive Filtering
147
653 Spectral Analysis
151
654 Flexible Manipulator System
155
66 Case Study
159
662 Experimentation and Results
166
67 Summary
172
68 Exercises
173
The Processing Elements of Parallel Architectures
175
Classification
176
731 Classification Based on Application
177
732 Classification Based on Nature of Instruction Set
179
Evolution and Features
180
742 Specialpurpose Processors
195
75 A Comparative Overview
204
76 Summary
205
Algorithms vs Architectures
207
83 Adaptive Active Vibration Control
208
831 Beam Simulation Algorithm
209
832 Identification Algorithm
211
833 Control Algorithm
213
84 Adaptive Filtering
214
841 LMS Filter
215
843 Relative Performances of the Architectures
216
85 Spectral Analysis
217
851 Correlation
219
852 FFT
220
853 Relative Performances of the Architectures
221
87 Comparative Performances of the Architectures
225
88 Summary
226
89 Exercises
227
Appendix A List of Abbreviations
229
Appendix B Hardware and Software Resources
233
B11 Processing Elements
234
B12 Parallel Architectures
236
B2 Software Support
239
B3 Other Supporting Resources
240
B32 The TTM110 Board
243
B33 Transtech MatchBox
244
References
245
Index
251
Copyright

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