Parallel Algorithms for Knapsack Type Problems PDF Download
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Author: Vassil Alexandrov
Publisher: World Scientific
ISBN: 9789810221201
Category : Computers
Languages : en
Pages : 222
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Book Description
This book brings together current research direction in the mapping of dynamic programming recurrence equations for Knapsack Type problems, which include Unbounded Knapsack Problem, 0/1 Knapsack Problem, Subset Sum Problem, Change Making Problem, onto so-called regular parallel architectures. In particular, it focuses on heuristic and more formal techniques for mapping. The text is based on substantially revised papers published by the authors and their colleagues in the literature but re-written to provide an overall view of the subject area.
Author: International Business Machines Corporation. Research Division
Publisher:
ISBN:
Category :
Languages : en
Pages : 18
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Book Description
Author: Vassil Alexandrov
Publisher: World Scientific
ISBN: 9789810221201
Category : Computers
Languages : en
Pages : 222
Get Book Here
Book Description
This book brings together current research direction in the mapping of dynamic programming recurrence equations for Knapsack Type problems, which include Unbounded Knapsack Problem, 0/1 Knapsack Problem, Subset Sum Problem, Change Making Problem, onto so-called regular parallel architectures. In particular, it focuses on heuristic and more formal techniques for mapping. The text is based on substantially revised papers published by the authors and their colleagues in the literature but re-written to provide an overall view of the subject area.
Author: Ping Zhang
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 402
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Book Description
Author: Alfred G. Burns
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 320
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Book Description
Author: Adam Murray White
Publisher:
ISBN:
Category :
Languages : en
Pages : 152
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Book Description
Author: Michael C. Ferris
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 16
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Book Description
Abstract: "We shall describe an [sic] parallel algorithm for solving the knapsack feasibilty problem, also known as the subset sum problem. The use of a random branching technique is described and its implementation on a parallel processor is discussed. Computational results show this to be an effective method for solving large problems. Using this approach we have solved problems with as many as 2 million variables in an average of 800 seconds on the Sequent Symmetry parallel processor. Furthermore, a coarse parallelization overcomes some of the problems that are present when serial algorithms are used to solve the knapsack problem."
Author: University of Wisconsin--Madison. Computer Sciences Dept
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 16
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Book Description
Abstract: "We shall describe an [sic] parallel algorithm for solving the knapsack feasibilty problem, also known as the subset sum problem. The use of a random branching technique is described and its implementation on a parallel processor is discussed. Computational results show this to be an effective method for solving large problems. Using this approach we have solved problems with as many as 2 million variables in an average of 800 seconds on the Sequent Symmetry parallel processor. Furthermore, a coarse parallelization overcomes some of the problems that are present when serial algorithms are used to solve the knapsack problem."
Author: Alfonso Ferreira
Publisher: Boom Koninklijke Uitgevers
ISBN: 9783540610434
Category : Business & Economics
Languages : en
Pages : 292
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Book Description
Solving combinatorial optimization problems can often lead to runtime growing exponentially as a function of the input size. But important real-world problems, industrial applications, and academic research challenges, may demand exact optimal solutions. In such situations, parallel processing can reduce the runtime from days or months, typical when one workstation is used, to a few minutes or even seconds. Partners of the CEC-sponsored SCOOP Project (Solving Combinatorial Optimization Problems in Parallel) contributed, on invitation, to this book; much attention was paid to competent coverage of the topic and the style of writing. Readers will include students, scientists, engineers, and professionals interested in the design and implementation of parallel algorithms for solving combinatorial optimization problems.
Author: Rebecca A. Hunt
Publisher:
ISBN:
Category :
Languages : en
Pages : 394
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Book Description
Author: Alfonso Ferreira
Publisher: Springer
ISBN: 0792336232
Category : Computers
Languages : en
Pages : 338
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Book Description
Efficient parallel solutions have been found to many problems. Some of them can be obtained automatically from sequential programs, using compilers. However, there is a large class of problems - irregular problems - that lack efficient solutions. IRREGULAR 94 - a workshop and summer school organized in Geneva - addressed the problems associated with the derivation of efficient solutions to irregular problems. This book, which is based on the workshop, draws on the contributions of outstanding scientists to present the state of the art in irregular problems, covering aspects ranging from scientific computing, discrete optimization, and automatic extraction of parallelism. Audience: This first book on parallel algorithms for irregular problems is of interest to advanced graduate students and researchers in parallel computer science.
