"There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the t
Algorithms and Parallel Computing
β Scribed by Fayez Gebali(auth.)
- Year
- 2011
- Tongue
- English
- Leaves
- 348
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application.Content:
Chapter 1 Introduction (pages 1β27):
Chapter 2 Enhancing Uniprocessor Performance (pages 29β51):
Chapter 3 Parallel Computers (pages 53β68):
Chapter 4 Shared?Memory Multiprocessors (pages 69β82):
Chapter 5 Interconnection Networks (pages 83β103):
Chapter 6 Concurrency Platforms (pages 105β130):
Chapter 7 Ad Hoc Techniques for Parallel Algorithms (pages 131β142):
Chapter 8 NonserialβParallel Algorithms (pages 143β157):
Chapter 9 z?Transform Analysis (pages 159β165):
Chapter 10 Dependence Graph Analysis (pages 167β183):
Chapter 11 Computational Geometry Analysis (pages 185β208):
Chapter 12 Case Study: One?Dimensional IIR Digital Filters (pages 209β218):
Chapter 13 Case Study: Two? and Three?Dimensional Digital Filters (pages 219β226):
Chapter 14 Case Study: Multirate Decimators and Interpolators (pages 227β244):
Chapter 15 Case Study: Pattern Matching (pages 245β254):
Chapter 16 Case Study: Motion Estimation for Video Compression (pages 255β266):
Chapter 17 Case Study: Multiplication over GF(2m) (pages 267β277):
Chapter 18 Case Study: Polynomial Division over GF(2) (pages 279β291):
Chapter 19 The Fast Fourier Transform (pages 293β303):
Chapter 20 Solving Systems of Linear Equations (pages 305β321):
Chapter 21 Solving Partial Differential Equations Using Finite Difference Method (pages 323β329):
π SIMILAR VOLUMES
There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the targe
There is a software gap between the hardware potential and the performance that can be attained using todays software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target
There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the targe
<p>Motivation It is now possible to build powerful single-processor and multiprocessor systems and use them efficiently for data processing, which has seen an explosive exΒ pansion in many areas of computer science and engineering. One approach to meeting the performance requirements of the applicat