Computer Science A Parallel Algorithm Synthesis Procedure for High-Performance Computer Architectures, (Paperback)
NIO 4461
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The Parallel Algorithm Synthesis Procedure can be used to design reusable building blocks of adaptable, scalable software modules from which high performance signal processing applications can be constructed.
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- Despite five decades of research, parallel computing remains an exotic, frontier technology on the fringes of mainstream computing. Its much-heralded triumph over sequential computing has yet to materialize. This is in spite of the fact that the processing needs of many signal processing applications continue to eclipse the capabilities of sequential computing. The culprit is largely the software development environment. Fundamental shortcomings in the development environment of many parallel computer architectures thwart the adoption of parallel computing. Foremost, parallel computing has no unifying model to accurately predict the execution time of algorithms on parallel architectures. Cost and scarce programming resources prohibit deploying multiple algorithms and partitioning strategies in an attempt to find the fastest solution. As a consequence, algorithm design is largely an intuitive art form dominated by practitioners who specialize in a particular computer architecture. This, coupled with the fact that parallel computer architectures rarely last more than a couple of years, makes for a complex and challenging design environment. To navigate this environment, algorithm designers need a road map, a detailed procedure they can use to efficiently develop high performance, portable parallel algorithms. The focus of this book is to draw such a road map. The Parallel Algorithm Synthesis Procedure can be used to design reusable building blocks of adaptable, scalable software modules from which high performance signal processing applications can be constructed. The hallmark of the procedure is a semi-systematic process for introducing parameters to control the partitioning and scheduling of computation and communication. This facilitates the tailoring of software modules to exploit different configurations of multiple processors, multiple floating-point units, and hierarchical memories. To showcase the efficacy of this procedure, the book presents threecase studies requiring various degrees of optimization for parallel execution.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | September, 2012 |
| Pages | 108 |
| Subgenre | Algebra |
| Series title | Computer Science |
| Edition | softcover reprint of the original 1st 2003 Edition |
| Publisher | Springer Us |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | Higher |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 0.26 x 9.21 in (15.6 x 0.7 x 23.4 cm) |
| Assembled product weight | 0.41 lb (190 grams) |
| Bisac subject heading | Mathematics |
Who Should Buy?
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Computer Scientists
Ideal for researchers looking to develop efficient parallel algorithms for advanced computational tasks.
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Graduate Students
Beneficial for graduate students specializing in computer science, particularly in parallel computing and algorithm design.
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Software Engineers
Useful for software engineers focusing on high-performance computing solutions that require parallel algorithm optimization.
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Casual Readers
Not suitable for casual readers due to its technical content and specialized focus on parallel algorithms.
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Ian N Dunn All Books Editorial Review
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características y beneficios
- Unlock the potential of parallel computing with a structured approach.
- Design reusable, high-performance software modules easily.
- Navigate complex environments for effective algorithm development.
- Tailor software to maximize performance across various architectures.
- Utilize case studies to demonstrate optimization techniques.
- Enhance your skill set in developing parallel architectures efficiently.
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