Author: Berman
Publisher:
ISBN: 9780534946753
Category :
Languages : en
Pages :
Book Description
Fundamentals of Sequential and Parallel Algorithms
Author: Berman
Publisher:
ISBN: 9780534946753
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9780534946753
Category :
Languages : en
Pages :
Book Description
Fundamentals of Sequential and Parallel Algorithms
Author: Kenneth A. Berman
Publisher:
ISBN: 9780534953300
Category : Computer algorithms
Languages : en
Pages : 744
Book Description
Publisher:
ISBN: 9780534953300
Category : Computer algorithms
Languages : en
Pages : 744
Book Description
Algorithms, Sequential & Parallel
Author: Russ Miller
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 360
Book Description
This work aims to provide an understanding of the analysis and applications of algorithmic paradigms, to both the traditional sequential model of computing and to a variety of parallel models. Concepts are applied to a broad range of subject areas, including matrix operations.
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 360
Book Description
This work aims to provide an understanding of the analysis and applications of algorithmic paradigms, to both the traditional sequential model of computing and to a variety of parallel models. Concepts are applied to a broad range of subject areas, including matrix operations.
Sequential and Parallel Algorithms and Data Structures
Author: Peter Sanders
Publisher: Springer Nature
ISBN: 3030252094
Category : Computers
Languages : en
Pages : 509
Book Description
This textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data, key algorithms for problems on graphs, and generic techniques for modeling, understanding, and solving algorithmic problems. The authors aim for a balance between simplicity and efficiency, between theory and practice, and between classical results and the forefront of research. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, optimization, collective communication and computation, and load balancing. The authors also discuss important issues such as algorithm engineering, memory hierarchies, algorithm libraries, and certifying algorithms. Moving beyond the sequential algorithms and data structures of the earlier related title, this book takes into account the paradigm shift towards the parallel processing required to solve modern performance-critical applications and how this impacts on the teaching of algorithms. The book is suitable for undergraduate and graduate students and professionals familiar with programming and basic mathematical language. Most chapters have the same basic structure: the authors discuss a problem as it occurs in a real-life situation, they illustrate the most important applications, and then they introduce simple solutions as informally as possible and as formally as necessary so the reader really understands the issues at hand. As they move to more advanced and optional issues, their approach gradually leads to a more mathematical treatment, including theorems and proofs. The book includes many examples, pictures, informal explanations, and exercises, and the implementation notes introduce clean, efficient implementations in languages such as C++ and Java.
Publisher: Springer Nature
ISBN: 3030252094
Category : Computers
Languages : en
Pages : 509
Book Description
This textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data, key algorithms for problems on graphs, and generic techniques for modeling, understanding, and solving algorithmic problems. The authors aim for a balance between simplicity and efficiency, between theory and practice, and between classical results and the forefront of research. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, optimization, collective communication and computation, and load balancing. The authors also discuss important issues such as algorithm engineering, memory hierarchies, algorithm libraries, and certifying algorithms. Moving beyond the sequential algorithms and data structures of the earlier related title, this book takes into account the paradigm shift towards the parallel processing required to solve modern performance-critical applications and how this impacts on the teaching of algorithms. The book is suitable for undergraduate and graduate students and professionals familiar with programming and basic mathematical language. Most chapters have the same basic structure: the authors discuss a problem as it occurs in a real-life situation, they illustrate the most important applications, and then they introduce simple solutions as informally as possible and as formally as necessary so the reader really understands the issues at hand. As they move to more advanced and optional issues, their approach gradually leads to a more mathematical treatment, including theorems and proofs. The book includes many examples, pictures, informal explanations, and exercises, and the implementation notes introduce clean, efficient implementations in languages such as C++ and Java.
Algorithms : Sequential & Parallel (2Nd Ed.)
Author: Russ Miller
Publisher: John Wiley & Sons
ISBN: 9788177226942
Category :
Languages : en
Pages : 896
Book Description
With multi-core processors replacing traditional processors and the movement to multiprocessor workstations and servers, parallel computing has moved from a specialty area to the core of computer science. In order to provide efficient and cost-effective solutions to problems, algorithms must be designed for multiprocessor systems. Algorithms: Sequential and Parallel provides a state-of-the-art approach to an algorithms course. The book considers algorithms, paradigms, and the analysis of solutions to critical problems for sequential and parallel models of computation in a unified fashion. This gives practicing engineers and scientists, undergraduates, and beginning graduate students a background in algorithms for sequential and parallel algorithms within one text. Prerequisites include fundamentals of data structures, discrete mathematics, and calculus.
Publisher: John Wiley & Sons
ISBN: 9788177226942
Category :
Languages : en
Pages : 896
Book Description
With multi-core processors replacing traditional processors and the movement to multiprocessor workstations and servers, parallel computing has moved from a specialty area to the core of computer science. In order to provide efficient and cost-effective solutions to problems, algorithms must be designed for multiprocessor systems. Algorithms: Sequential and Parallel provides a state-of-the-art approach to an algorithms course. The book considers algorithms, paradigms, and the analysis of solutions to critical problems for sequential and parallel models of computation in a unified fashion. This gives practicing engineers and scientists, undergraduates, and beginning graduate students a background in algorithms for sequential and parallel algorithms within one text. Prerequisites include fundamentals of data structures, discrete mathematics, and calculus.
Fundamentals of Sequential and Parallel Algorithms
Author: Kenneth A. Berman
Publisher: Course Technology
ISBN: 9780534946746
Category : Algorithms
Languages : en
Pages : 0
Book Description
Introduction fro ancient to modern times; Elementary data structures; Design analysis of sequential algorithms; Sequential sortin algorithms and their analysis; Introduction to parallel algorithms and architectures; parallel sorting; Expanding the design and analysis of the algorithms toolkit; Introduction, correctness proofs, and recurrence relations;Graphs, digraphs, and sets; Probability and average complexity of agorithms; Introduction to Lower bound theory; Parallel prefix, matix multiplication, and pointer jumping; Major design strategies; The Greedy method; Divide conquer; Dynamic programming; Backtracking and branch-and-bound; Special topics; Heuristic search: A- search, game trees; The dictionary problem: hashing and balanced trees; Probabilistic algorithms; graph algorithms; NP- complete problems and the class NC; The classes NC and P-complete; Closing remarks.
Publisher: Course Technology
ISBN: 9780534946746
Category : Algorithms
Languages : en
Pages : 0
Book Description
Introduction fro ancient to modern times; Elementary data structures; Design analysis of sequential algorithms; Sequential sortin algorithms and their analysis; Introduction to parallel algorithms and architectures; parallel sorting; Expanding the design and analysis of the algorithms toolkit; Introduction, correctness proofs, and recurrence relations;Graphs, digraphs, and sets; Probability and average complexity of agorithms; Introduction to Lower bound theory; Parallel prefix, matix multiplication, and pointer jumping; Major design strategies; The Greedy method; Divide conquer; Dynamic programming; Backtracking and branch-and-bound; Special topics; Heuristic search: A- search, game trees; The dictionary problem: hashing and balanced trees; Probabilistic algorithms; graph algorithms; NP- complete problems and the class NC; The classes NC and P-complete; Closing remarks.
Parallel Processing and Parallel Algorithms
Author: Seyed H Roosta
Publisher: Springer Science & Business Media
ISBN: 1461212200
Category : Computers
Languages : en
Pages : 579
Book Description
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 ex pansion in many areas of computer science and engineering. One approach to meeting the performance requirements of the applications has been to utilize the most powerful single-processor system that is available. When such a system does not provide the performance requirements, pipelined and parallel process ing structures can be employed. The concept of parallel processing is a depar ture from sequential processing. In sequential computation one processor is in volved and performs one operation at a time. On the other hand, in parallel computation several processors cooperate to solve a problem, which reduces computing time because several operations can be carried out simultaneously. Using several processors that work together on a given computation illustrates a new paradigm in computer problem solving which is completely different from sequential processing. From the practical point of view, this provides sufficient justification to investigate the concept of parallel processing and related issues, such as parallel algorithms. Parallel processing involves utilizing several factors, such as parallel architectures, parallel algorithms, parallel programming lan guages and performance analysis, which are strongly interrelated. In general, four steps are involved in performing a computational problem in parallel. The first step is to understand the nature of computations in the specific application domain.
Publisher: Springer Science & Business Media
ISBN: 1461212200
Category : Computers
Languages : en
Pages : 579
Book Description
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 ex pansion in many areas of computer science and engineering. One approach to meeting the performance requirements of the applications has been to utilize the most powerful single-processor system that is available. When such a system does not provide the performance requirements, pipelined and parallel process ing structures can be employed. The concept of parallel processing is a depar ture from sequential processing. In sequential computation one processor is in volved and performs one operation at a time. On the other hand, in parallel computation several processors cooperate to solve a problem, which reduces computing time because several operations can be carried out simultaneously. Using several processors that work together on a given computation illustrates a new paradigm in computer problem solving which is completely different from sequential processing. From the practical point of view, this provides sufficient justification to investigate the concept of parallel processing and related issues, such as parallel algorithms. Parallel processing involves utilizing several factors, such as parallel architectures, parallel algorithms, parallel programming lan guages and performance analysis, which are strongly interrelated. In general, four steps are involved in performing a computational problem in parallel. The first step is to understand the nature of computations in the specific application domain.
Algorithms and Parallel Computing
Author: Fayez Gebali
Publisher: John Wiley & Sons
ISBN: 0470934638
Category : Computers
Languages : en
Pages : 372
Book Description
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.
Publisher: John Wiley & Sons
ISBN: 0470934638
Category : Computers
Languages : en
Pages : 372
Book Description
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.
Mathematical Foundations Of Parallel Computing
Author: V V Voevodin
Publisher: World Scientific
ISBN: 9814505897
Category : Mathematics
Languages : en
Pages : 367
Book Description
Parallel implementation of algorithms involves many difficult problems. In particular among them are round-off analysis, the way to convert sequential programs and algorithms into the parallel mode, the choice of appropriate or optimal computer architect and so on. To solve these problems, it is necessary to know very well the structure of algorithms. This book deal with the mathematical mechanism that permits us to investigate structures of both sequential and parallel algorithms. This mechanism allows us to recognize and explain the relations between different methods of constructing parallel algorithms, the methods of analysing round-off errors, the methods of optimizing memory traffic, the methods of working out the fastest implementation for a given parallel computer and other methods attending the joint investigation of algorithms and computers.
Publisher: World Scientific
ISBN: 9814505897
Category : Mathematics
Languages : en
Pages : 367
Book Description
Parallel implementation of algorithms involves many difficult problems. In particular among them are round-off analysis, the way to convert sequential programs and algorithms into the parallel mode, the choice of appropriate or optimal computer architect and so on. To solve these problems, it is necessary to know very well the structure of algorithms. This book deal with the mathematical mechanism that permits us to investigate structures of both sequential and parallel algorithms. This mechanism allows us to recognize and explain the relations between different methods of constructing parallel algorithms, the methods of analysing round-off errors, the methods of optimizing memory traffic, the methods of working out the fastest implementation for a given parallel computer and other methods attending the joint investigation of algorithms and computers.
The Design and Analysis of Parallel Algorithms
Author: Selim G. Akl
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 426
Book Description
Mathematics of Computing -- Parallelism.
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 426
Book Description
Mathematics of Computing -- Parallelism.