On the Design and Analysis of Practical Parallel Algorithms for Combinatorial Problems with Applications to Image Processing

On the Design and Analysis of Practical Parallel Algorithms for Combinatorial Problems with Applications to Image Processing
Author: David Bader
Publisher:
Total Pages: 236
Release: 2012-05-08
Genre: Computers
ISBN: 9781477424629

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A fundamental challenge for parallel computing is to obtain high-level, architectureindependent, algorithms which efficiently execute on general-purposeparallel machines. With the emergence of message passing standards such asMPI, it has become easier to design portable parallel algorithms making use ofthese primitives. We introduce a number of techniques that allow us to derivescalable and efficient algorithms for data communication, solving combinatorialproblems, and image processing applications.

Analysis and Design of Algorithms for Combinatorial Problems

Analysis and Design of Algorithms for Combinatorial Problems
Author: G. Ausiello
Publisher: Elsevier
Total Pages: 335
Release: 1985-05-01
Genre: Mathematics
ISBN: 0080872204

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Combinatorial problems have been from the very beginning part of the history of mathematics. By the Sixties, the main classes of combinatorial problems had been defined. During that decade, a great number of research contributions in graph theory had been produced, which laid the foundations for most of the research in graph optimization in the following years. During the Seventies, a large number of special purpose models were developed. The impressive growth of this field since has been strongly determined by the demand of applications and influenced by the technological increases in computing power and the availability of data and software. The availability of such basic tools has led to the feasibility of the exact or well approximate solution of large scale realistic combinatorial optimization problems and has created a number of new combinatorial problems.

Inherently Parallel Algorithms in Feasibility and Optimization and their Applications

Inherently Parallel Algorithms in Feasibility and Optimization and their Applications
Author: D. Butnariu
Publisher: Elsevier
Total Pages: 515
Release: 2001-06-18
Genre: Mathematics
ISBN: 0080508766

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The Haifa 2000 Workshop on "Inherently Parallel Algorithms for Feasibility and Optimization and their Applications" brought together top scientists in this area. The objective of the Workshop was to discuss, analyze and compare the latest developments in this fast growing field of applied mathematics and to identify topics of research which are of special interest for industrial applications and for further theoretical study. Inherently parallel algorithms, that is, computational methods which are, by their mathematical nature, parallel, have been studied in various contexts for more than fifty years. However, it was only during the last decade that they have mostly proved their practical usefulness because new generations of computers made their implementation possible in order to solve complex feasibility and optimization problems involving huge amounts of data via parallel processing. These led to an accumulation of computational experience and theoretical information and opened new and challenging questions concerning the behavior of inherently parallel algorithms for feasibility and optimization, their convergence in new environments and in circumstances in which they were not considered before their stability and reliability. Several research groups all over the world focused on these questions and it was the general feeling among scientists involved in this effort that the time has come to survey the latest progress and convey a perspective for further development and concerted scientific investigations. Thus, the editors of this volume, with the support of the Israeli Academy for Sciences and Humanities, took the initiative of organizing a Workshop intended to bring together the leading scientists in the field. The current volume is the Proceedings of the Workshop representing the discussions, debates and communications that took place. Having all that information collected in a single book will provide mathematicians and engineers interested in the theoretical and practical aspects of the inherently parallel algorithms for feasibility and optimization with a tool for determining when, where and which algorithms in this class are fit for solving specific problems, how reliable they are, how they behave and how efficient they were in previous applications. Such a tool will allow software creators to choose ways of better implementing these methods by learning from existing experience.

Parallel Algorithms

Parallel Algorithms
Author: M H Alsuwaiyel
Publisher: World Scientific
Total Pages: 400
Release: 2022-05-30
Genre: Computers
ISBN: 9811252998

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This book is an introduction to the field of parallel algorithms and the underpinning techniques to realize the parallelization. The emphasis is on designing algorithms within the timeless and abstracted context of a high-level programming language. The focus of the presentation is on practical applications of the algorithm design using different models of parallel computation. Each model is illustrated by providing an adequate number of algorithms to solve some problems that quite often arise in many applications in science and engineering.The book is largely self-contained, presuming no special knowledge of parallel computers or particular mathematics. In addition, the solutions to all exercises are included at the end of each chapter.The book is intended as a text in the field of the design and analysis of parallel algorithms. It includes adequate material for a course in parallel algorithms at both undergraduate and graduate levels.

Encyclopedia of Parallel Computing

Encyclopedia of Parallel Computing
Author: David Padua
Publisher: Springer Science & Business Media
Total Pages: 2211
Release: 2014-07-08
Genre: Computers
ISBN: 038709766X

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Containing over 300 entries in an A-Z format, the Encyclopedia of Parallel Computing provides easy, intuitive access to relevant information for professionals and researchers seeking access to any aspect within the broad field of parallel computing. Topics for this comprehensive reference were selected, written, and peer-reviewed by an international pool of distinguished researchers in the field. The Encyclopedia is broad in scope, covering machine organization, programming languages, algorithms, and applications. Within each area, concepts, designs, and specific implementations are presented. The highly-structured essays in this work comprise synonyms, a definition and discussion of the topic, bibliographies, and links to related literature. Extensive cross-references to other entries within the Encyclopedia support efficient, user-friendly searchers for immediate access to useful information. Key concepts presented in the Encyclopedia of Parallel Computing include; laws and metrics; specific numerical and non-numerical algorithms; asynchronous algorithms; libraries of subroutines; benchmark suites; applications; sequential consistency and cache coherency; machine classes such as clusters, shared-memory multiprocessors, special-purpose machines and dataflow machines; specific machines such as Cray supercomputers, IBM’s cell processor and Intel’s multicore machines; race detection and auto parallelization; parallel programming languages, synchronization primitives, collective operations, message passing libraries, checkpointing, and operating systems. Topics covered: Speedup, Efficiency, Isoefficiency, Redundancy, Amdahls law, Computer Architecture Concepts, Parallel Machine Designs, Benmarks, Parallel Programming concepts & design, Algorithms, Parallel applications. This authoritative reference will be published in two formats: print and online. The online edition features hyperlinks to cross-references and to additional significant research. Related Subjects: supercomputing, high-performance computing, distributed computing

Solving Combinatorial Optimization Problems in Parallel

Solving Combinatorial Optimization Problems in Parallel
Author: Alfonso Ferreira
Publisher: Boom Koninklijke Uitgevers
Total Pages: 292
Release: 1996-03-27
Genre: Business & Economics
ISBN: 9783540610434

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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.

Parallel Algorithms for Irregular Problems: State of the Art

Parallel Algorithms for Irregular Problems: State of the Art
Author: Alfonso Ferreira
Publisher: Springer Science & Business Media
Total Pages: 338
Release: 2013-04-17
Genre: Computers
ISBN: 1475761309

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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.

Parallel Algorithms

Parallel Algorithms
Author: DIMACS (Group)
Publisher: American Mathematical Soc.
Total Pages: 176
Release: 1997
Genre: Computers
ISBN: 0821804472

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This volume is the result of the Third DIMACS Implementation Challenge that was conducted as part of the 1993-94 Special year on Parallel Algorithms. The Implementation Challenge was formulated in order to provide a forum for a concerted effort to study effective algorithms for combinatorial problems and to investigate opportunities for massive speed-ups on parallel computers. The challenge invluded two problem areas for research study: tree searching, algorithms, used in game search and combinatorial optimization, for example, and algorithms for sparse graphs. Participants at sites in the US and Europe undertook projects from November 1993 through October 1994. The workshop was held at DIMACS in November 1994. Participants were encouraged to share test results, to rework their implementations considering feedback at the workshop, and to submit a final report for the proceedings. Nine papers were selected for this volume.