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Algorithm Engineering

Author: Matthias Müller-Hannemann

Publisher: Springer Science & Business Media

Published: 2010-08-05

Total Pages: 527

ISBN-13: 3642148654

Algorithms are essential building blocks of computer applications. However, advancements in computer hardware, which render traditional computer models more and more unrealistic, and an ever increasing demand for efficient solution to actual real world problems have led to a rising gap between classical algorithm theory and algorithmics in practice. The emerging discipline of Algorithm Engineering aims at bridging this gap. Driven by concrete applications, Algorithm Engineering complements theory by the benefits of experimentation and puts equal emphasis on all aspects arising during a cyclic solution process ranging from realistic modeling, design, analysis, robust and efficient implementations to careful experiments. This tutorial - outcome of a GI-Dagstuhl Seminar held in Dagstuhl Castle in September 2006 - covers the essential aspects of this process in ten chapters on basic ideas, modeling and design issues, analysis of algorithms, realistic computer models, implementation aspects and algorithmic software libraries, selected case studies, as well as challenges in Algorithm Engineering. Both researchers and practitioners in the field will find it useful as a state-of-the-art survey.

Algorithm Engineering

Author: Lasse Kliemann

Publisher: Springer

Published: 2016-11-10

Total Pages: 419

ISBN-13: 3319494872

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Algorithm Engineering is a methodology for algorithmic research that combines theory with implementation and experimentation in order to obtain better algorithms with high practical impact. Traditionally, the study of algorithms was dominated by mathematical (worst-case) analysis. In Algorithm Engineering, algorithms are also implemented and experiments conducted in a systematic way, sometimes resembling the experimentation processes known from fields such as biology, chemistry, or physics. This helps in counteracting an otherwise growing gap between theory and practice.

Algorithm Engineering

Author: Stefan Näher

Publisher: Springer Science & Business Media

Published: 2007-06-03

Total Pages: 251

ISBN-13: 3540446915

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This volume contains the papers accepted for the 4th Workshop on Algorithm Engineering (WAE 2000) held in Saarbruc ̈ ken, Germany, during 5–8 September 2000, together with the abstract of the invited lecture given by Karsten Weihe. The Workshop on Algorithm Engineering covers research on all aspects of the subject. The goal is to present recent research results and to identify and explore directions for future research. Previous meetings were held in Venice (1997), Saarbruc ̈ ken (1998), and London (1999). Papers were solicited describing original research in all aspects of algorithm engineering, including: – Development of software repositories and platforms which allow the use of and experimentation with e?cient discrete algorithms. – Novel uses of discrete algorithms in other disciplines and the evaluation of algorithms for realistic environments. – Methodological issues including standards in the context of empirical - search on algorithms and data structures. – Methodological issues regarding the process of converting user requirements into e?cient algorithmic solutions and implementations. The program committee accepted 16 from a total of 30 submissions. The program committee meeting was conducted electronically. The criteria for sel- tion were originality, quality, and relevance to the subject area of the workshop. Considerable e?ort was devoted to the evaluation of the submissions and to p- viding the authors with feedback. Each submission was reviewed by at least four program committee members (assisted by subreferees). A special issue of the ACM Journal of Experimental Algorithmics will be devoted to selected papers from WAE 2000.

Algorithm Engineering

Author: Gerth Stølting Brodal

Publisher: Springer Science & Business Media

Published: 2001-08-15

Total Pages: 209

ISBN-13: 3540425004

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Compact DFA representation for fast regular expression search / Gonzalo Navarro / - The Max-Shift algorithm for approximate string matching / Costas S. Iliopoulos / - Fractal matrix multiplication : a case study on portability of cache performance / Gianfranco Bilardi / - Experiences with the design and implementation of space-efficient deques / Jyrki Katajainen / - Designing and implementing a general purpose halfedge data structure / Hervé Brönnimann / - Optimised predecessor data structures for internal memory / Naila Rahman / - An adaptable and expensible geometry kernel / Susan Hert / - Efficient resource allocation with noisy functions / Arne Andersson / - Improving the efficiency of branch and bound algorithms for the simple plant location problem / Boris Goldengorin / - Exploiting partial knowledge of satisfying assignments / Kazuo Iwama / - Using PRAM algorithms on a uniform-memory-access shared-memory architecture / David A. Bader / - An experimental study of basic communicat ...

Algorithm Engineering

Author: Gerd Stoelting Brodal

Publisher: Springer

Published: 2003-06-30

Total Pages: 209

ISBN-13: 3540446885

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This book constitutes the refereed proceedings of the 5th Workshop on Algorithm Engineering, WAE 2001, held in Aarhus, Denmark, in August 2001. The 15 revised full papers presented were carefully reviewed and selected from 25 submissions. Among the topics addressed are implementation, experimental testing, and fine-tuning of discrete algorithms; novel use of discrete algorithms in other disciplines; empirical research on algorithms and data structures; and methodological issues regarding the process of converting user requirements into efficient algorithmic solutions and implemenations.

Algorithm Engineering

Author: Jeffrey S. Vitter

Publisher: Springer

Published: 2003-05-15

Total Pages: 369

ISBN-13: 3540483187

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This book constitutes the refereed proceedings of the Third International Workshop on Algorithm Engineering, WAE'99, held in London, UK in July 1999. The 24 revised full papers presented were carefully reviewed and selected from a total of 46 submissions. The papers present original research results in all aspects of algorithm engineering including implementation, experimental testing, fine-tuning of discrete algorithms, development of repositories of software, methodological issues such as standards for empirical research on algorithms and data structures, and issues in the process of converting user requirements into efficient algorithmic solutions and implementations.

Pearls of Algorithm Engineering

Author: Paolo Ferragina

Publisher: Cambridge University Press

Published: 2023-06-30

Total Pages: 319

ISBN-13: 1009123289

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This book covers algorithmic problems in big data applications, presenting solutions over hierarchical-memory systems along with pseudocode.

Algorithm Engineering and Experiments

Author: David M. Mount

Publisher: Springer Science & Business Media

Published: 2002-07-24

Total Pages: 215

ISBN-13: 3540439773

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poggi@inf. puc-rio. br,rwerneck@cs. princeton. edu Abstract. Someofthemostwidelyusedconstructiveheuristicsforthe Steiner Problem in Graphs are based on algorithms for the Minimum Spanning Tree problem. In this paper, we examine e?cient implem- tations of heuristics based on the classic algorithms by Prim, Kruskal, and Bor? uvka.

Algorithm Engineering for Integral and Dynamic Problems

Author: Lucia Rapanotti

Publisher: CRC Press

Published: 2001-01-23

Total Pages: 282

ISBN-13: 9789056993283

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Algorithm engineering allows computer engineers to produce a computational machine that will execute an algorithm as efficiently and cost-effectively as possible given a set of constraints, such as minimal performance or the availability of technology. Addressing algorithm engineering in a parallel setting, regular array syntheses offer powerful computation and embody best practice, but often face the criticism that they are applicable only to restricted classes of algorithms. Algorithm Engineering for Integral and Dynamic Problems reviews the basic principles of regular array synthesis and shows how to extend its use into classes of algorithms traditionally viewed to be beyond its domain of application. The author discusses the transformation of the initial algorithm specification into a specification with data dependencies of increased regularity in order to obtain corresponding regular arrays by direct application of the standard mapping techniques. The book includes a review of the basic principles of regular array synthesis followed by applications of these techniques to well-known algorithms, concluding with numerous case studies to illustrate the methods. Researchers and practitioners in algorithm engineering will find that this text significantly extends their understanding of the applications of regular array synthesis and regular array processors beyond the traditionally narrow field of relevance.

Algorithm Engineering and Experimentation

Author: Michael T. Goodrich

Publisher: Springer

Published: 1999-01-01

Total Pages: 360

ISBN-13: 354048518X

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Symmetric multiprocessors (SMPs) dominate the high-end server market and are currently the primary candidate for constructing large scale multiprocessor systems. Yet, the design of e cient parallel algorithms for this platform c- rently poses several challenges. The reason for this is that the rapid progress in microprocessor speed has left main memory access as the primary limitation to SMP performance. Since memory is the bottleneck, simply increasing the n- ber of processors will not necessarily yield better performance. Indeed, memory bus limitations typically limit the size of SMPs to 16 processors. This has at least twoimplicationsfor the algorithmdesigner. First, since there are relatively few processors availableon an SMP, any parallel algorithm must be competitive with its sequential counterpart with as little as one processor in order to be r- evant. Second, for the parallel algorithm to scale with the number of processors, it must be designed with careful attention to minimizing the number and type of main memory accesses. In this paper, we present a computational model for designing e cient al- rithms for symmetric multiprocessors. We then use this model to create e cient solutions to two widely di erent types of problems - linked list pre x com- tations and generalized sorting. Both problems are memory intensive, but in die rent ways. Whereas generalized sorting algorithms typically require a large numberofmemoryaccesses, they areusuallytocontiguousmemorylocations. By contrast, prex computation algorithms typically require a more modest qu- tity of memory accesses, but they are are usually to non-contiguous memory locations.