Scientific Software Design

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Scientific Software Design

Author : Damian Rouson,Jim Xia,Xiaofeng Xu
Publisher : Cambridge University Press
Page : 405 pages
File Size : 54,9 Mb
Release : 2011-04-29
Category : Technology & Engineering
ISBN : 9781139498784

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Scientific Software Design by Damian Rouson,Jim Xia,Xiaofeng Xu Pdf

The authors analyze how the structure of a package determines its developmental complexity according to such measures as bug search times and documentation information content. The work presents arguments for why these issues impact solution cost and time more than does scalable performance. The final chapter explores the question of scalable execution and shows how scalable design relates to scalable execution. The book's focus is on program organization, which has received considerable attention in the broader software engineering community, where graphical description standards for modeling software structure and behavior have been developed by computer scientists. These discussions might be enriched by engineers who write scientific codes. This book aims to bring such scientific programmers into discussion with computer scientists. The authors do so by introducing object-oriented software design patterns in the context of scientific simulation.

Scientific Software Design

Author : Damian Rouson,Jim Xia,Xiaofeng Xu
Publisher : Cambridge University Press
Page : 406 pages
File Size : 44,6 Mb
Release : 2014-03-06
Category : Technology & Engineering
ISBN : 1107415330

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Scientific Software Design by Damian Rouson,Jim Xia,Xiaofeng Xu Pdf

This book concerns software design. Although many current discussions of scientific programming focus on scalable performance, this book focuses on scalable design. The authors analyze how the structure of a package determines its developmental complexity according to such measures as bug search times and documentation information content. The work presents arguments for why these issues impact solution cost and time more than does scalable performance. The final chapter explores the question of scalable execution and shows how scalable design relates to scalable execution. The book's focus is on program organization, which has received considerable attention in the broader software engineering community, where graphical description standards for modeling software structure and behavior have been developed by computer scientists. These discussions might be enriched by engineers who write scientific codes. This book aims to bring such scientific programmers into discussion with computer scientists. The authors do so by introducing object-oriented software design patterns in the context of scientific simulation.

Software Engineering for Science

Author : Jeffrey C. Carver,Neil P. Chue Hong,George K. Thiruvathukal
Publisher : CRC Press
Page : 311 pages
File Size : 47,7 Mb
Release : 2016-11-03
Category : Computers
ISBN : 9781498743860

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Software Engineering for Science by Jeffrey C. Carver,Neil P. Chue Hong,George K. Thiruvathukal Pdf

Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software engineering practices to the development of scientific software. It provides a better understanding of how software engineering is and should be practiced, and which software engineering practices are effective for scientific software. The book starts with a detailed overview of the Scientific Software Lifecycle, and a general overview of the scientific software development process. It highlights key issues commonly arising during scientific software development, as well as solutions to these problems. The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges. The chapters then describe solutions and case studies aimed at applying testing to scientific software development efforts. The final part of the book provides examples of applying software engineering techniques to scientific software, including not only computational modeling, but also software for data management and analysis. The authors describe their experiences and lessons learned from developing complex scientific software in different domains. About the Editors Jeffrey Carver is an Associate Professor in the Department of Computer Science at the University of Alabama. He is one of the primary organizers of the workshop series on Software Engineering for Science (http://www.SE4Science.org/workshops). Neil P. Chue Hong is Director of the Software Sustainability Institute at the University of Edinburgh. His research interests include barriers and incentives in research software ecosystems and the role of software as a research object. George K. Thiruvathukal is Professor of Computer Science at Loyola University Chicago and Visiting Faculty at Argonne National Laboratory. His current research is focused on software metrics in open source mathematical and scientific software.

Writing Scientific Software

Author : Suely Oliveira,David E. Stewart
Publisher : Cambridge University Press
Page : 287 pages
File Size : 40,8 Mb
Release : 2006-09-07
Category : Computers
ISBN : 9781139458627

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Writing Scientific Software by Suely Oliveira,David E. Stewart Pdf

The core of scientific computing is designing, writing, testing, debugging and modifying numerical software for application to a vast range of areas: from graphics, meteorology and chemistry to engineering, biology and finance. Scientists, engineers and computer scientists need to write good code, for speed, clarity, flexibility and ease of re-use. Oliveira and Stewart's style guide for numerical software points out good practices to follow, and pitfalls to avoid. By following their advice, readers will learn how to write efficient software, and how to test it for bugs, accuracy and performance. Techniques are explained with a variety of programming languages, and illustrated with two extensive design examples, one in Fortran 90 and one in C++: other examples in C, C++, Fortran 90 and Java are scattered throughout the book. This manual of scientific computing style will be an essential addition to the bookshelf and lab of everyone who writes numerical software.

Design Science Methodology for Information Systems and Software Engineering

Author : Roel J. Wieringa
Publisher : Springer
Page : 327 pages
File Size : 41,8 Mb
Release : 2014-11-19
Category : Computers
ISBN : 9783662438398

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Design Science Methodology for Information Systems and Software Engineering by Roel J. Wieringa Pdf

This book provides guidelines for practicing design science in the fields of information systems and software engineering research. A design process usually iterates over two activities: first designing an artifact that improves something for stakeholders and subsequently empirically investigating the performance of that artifact in its context. This “validation in context” is a key feature of the book - since an artifact is designed for a context, it should also be validated in this context. The book is divided into five parts. Part I discusses the fundamental nature of design science and its artifacts, as well as related design research questions and goals. Part II deals with the design cycle, i.e. the creation, design and validation of artifacts based on requirements and stakeholder goals. To elaborate this further, Part III presents the role of conceptual frameworks and theories in design science. Part IV continues with the empirical cycle to investigate artifacts in context, and presents the different elements of research problem analysis, research setup and data analysis. Finally, Part V deals with the practical application of the empirical cycle by presenting in detail various research methods, including observational case studies, case-based and sample-based experiments and technical action research. These main sections are complemented by two generic checklists, one for the design cycle and one for the empirical cycle. The book is written for students as well as academic and industrial researchers in software engineering or information systems. It provides guidelines on how to effectively structure research goals, how to analyze research problems concerning design goals and knowledge questions, how to validate artifact designs and how to empirically investigate artifacts in context – and finally how to present the results of the design cycle as a whole.

The Architecture of Scientific Software

Author : Ronald F. Boisvert,Ping Tak Peter Tang
Publisher : Springer
Page : 360 pages
File Size : 45,8 Mb
Release : 2013-04-17
Category : Computers
ISBN : 9780387354071

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The Architecture of Scientific Software by Ronald F. Boisvert,Ping Tak Peter Tang Pdf

Scientific applications involve very large computations that strain the resources of whatever computers are available. Such computations implement sophisticated mathematics, require deep scientific knowledge, depend on subtle interplay of different approximations, and may be subject to instabilities and sensitivity to external input. Software able to succeed in this domain invariably embeds significant domain knowledge that should be tapped for future use. Unfortunately, most existing scientific software is designed in an ad hoc way, resulting in monolithic codes understood by only a few developers. Software architecture refers to the way software is structured to promote objectives such as reusability, maintainability, extensibility, and feasibility of independent implementation. Such issues have become increasingly important in the scientific domain, as software gets larger and more complex, constructed by teams of people, and evolved over decades. In the context of scientific computation, the challenge facing mathematical software practitioners is to design, develop, and supply computational components which deliver these objectives when embedded in end-user application codes. The Architecture of Scientific Software addresses emerging methodologies and tools for the rational design of scientific software, including component integration frameworks, network-based computing, formal methods of abstraction, application programmer interface design, and the role of object-oriented languages. This book comprises the proceedings of the International Federation for Information Processing (IFIP) Conference on the Architecture of Scientific Software, which was held in Ottawa, Canada, in October 2000. It will prove invaluable reading for developers of scientific software, as well as for researchers in computational sciences and engineering.

Modern Software Tools for Scientific Computing

Author : A. Bruaset,E. Arge,Hans Petter Langtangen
Publisher : Springer Science & Business Media
Page : 387 pages
File Size : 55,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461219866

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Modern Software Tools for Scientific Computing by A. Bruaset,E. Arge,Hans Petter Langtangen Pdf

Looking back at the years that have passed since the realization of the very first electronic, multi-purpose computers, one observes a tremendous growth in hardware and software performance. Today, researchers and engi neers have access to computing power and software that can solve numerical problems which are not fully understood in terms of existing mathemati cal theory. Thus, computational sciences must in many respects be viewed as experimental disciplines. As a consequence, there is a demand for high quality, flexible software that allows, and even encourages, experimentation with alternative numerical strategies and mathematical models. Extensibil ity is then a key issue; the software must provide an efficient environment for incorporation of new methods and models that will be required in fu ture problem scenarios. The development of such kind of flexible software is a challenging and expensive task. One way to achieve these goals is to in vest much work in the design and implementation of generic software tools which can be used in a wide range of application fields. In order to provide a forum where researchers could present and discuss their contributions to the described development, an International Work shop on Modern Software Tools for Scientific Computing was arranged in Oslo, Norway, September 16-18, 1996. This workshop, informally referred to as Sci Tools '96, was a collaboration between SINTEF Applied Mathe matics and the Departments of Informatics and Mathematics at the Uni versity of Oslo.

Scientific Programming and Computer Architecture

Author : Divakar Viswanath
Publisher : MIT Press
Page : 625 pages
File Size : 42,5 Mb
Release : 2017-07-28
Category : Computers
ISBN : 9780262036290

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Scientific Programming and Computer Architecture by Divakar Viswanath Pdf

A variety of programming models relevant to scientists explained, with an emphasis on how programming constructs map to parts of the computer. What makes computer programs fast or slow? To answer this question, we have to get behind the abstractions of programming languages and look at how a computer really works. This book examines and explains a variety of scientific programming models (programming models relevant to scientists) with an emphasis on how programming constructs map to different parts of the computer's architecture. Two themes emerge: program speed and program modularity. Throughout this book, the premise is to "get under the hood," and the discussion is tied to specific programs. The book digs into linkers, compilers, operating systems, and computer architecture to understand how the different parts of the computer interact with programs. It begins with a review of C/C++ and explanations of how libraries, linkers, and Makefiles work. Programming models covered include Pthreads, OpenMP, MPI, TCP/IP, and CUDA.The emphasis on how computers work leads the reader into computer architecture and occasionally into the operating system kernel. The operating system studied is Linux, the preferred platform for scientific computing. Linux is also open source, which allows users to peer into its inner workings. A brief appendix provides a useful table of machines used to time programs. The book's website (https://github.com/divakarvi/bk-spca) has all the programs described in the book as well as a link to the html text.

Software Design for Engineers and Scientists

Author : John Allen Robinson
Publisher : Elsevier
Page : 414 pages
File Size : 51,7 Mb
Release : 2004-08-21
Category : Computers
ISBN : 0080474403

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Software Design for Engineers and Scientists by John Allen Robinson Pdf

Software Design for Engineers and Scientists integrates three core areas of computing: . Software engineering - including both traditional methods and the insights of 'extreme programming' . Program design - including the analysis of data structures and algorithms . Practical object-oriented programming Without assuming prior knowledge of any particular programming language, and avoiding the need for students to learn from separate, specialised Computer Science texts, John Robinson takes the reader from small-scale programing to competence in large software projects, all within one volume. Copious examples and case studies are provided in C++. The book is especially suitable for undergraduates in the natural sciences and all branches of engineering who have some knowledge of computing basics, and now need to understand and apply software design to tasks like data analysis, simulation, signal processing or visualisation. John Robinson introduces both software theory and its application to problem solving using a range of design principles, applied to the creation of medium-sized systems, providing key methods and tools for designing reliable, efficient, maintainable programs. The case studies are presented within scientific contexts to illustrate all aspects of the design process, allowing students to relate theory to real-world applications. Core computing topics - usually found in separate specialised texts - presented to meet the specific requirements of science and engineering students Demonstrates good practice through applications, case studies and worked examples based in real-world contexts

Python for Software Design

Author : Allen Downey
Publisher : Cambridge University Press
Page : 273 pages
File Size : 54,8 Mb
Release : 2009-03-09
Category : Computers
ISBN : 9780521898119

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Python for Software Design by Allen Downey Pdf

Python for Software Design is a concise introduction to software design using the Python programming language. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practice each new concept.

Scientific Software Development in Fortran

Author : Drew McCormack
Publisher : Lulu.com
Page : 149 pages
File Size : 43,8 Mb
Release : 2010-01-02
Category : Computers
ISBN : 9781445254456

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Scientific Software Development in Fortran by Drew McCormack Pdf

Fortran is the oldest high-level programming language still in use today. It is widely used in scientific and technical fields, and has evolved over the years into a powerful numerical programming language, with excellent support for high-performance computing and data processing. This text provides an introduction to the most commonly-used modern variant of the language, Fortran 90/95. Unlike most texts on Fortran, there is a strong emphasis on design and software engineering. The reader is not only introduced to the language syntax, but also to how language constructs are best combined to build robust software.

Writing Scientific Software

Author : Suely Oliveira,David Stewart
Publisher : Unknown
Page : 303 pages
File Size : 41,7 Mb
Release : 2006
Category : Computers
ISBN : 0521858968

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Writing Scientific Software by Suely Oliveira,David Stewart Pdf

A manual and guide to good scientific computing style, explaining how to write good software and how to test it for bugs, accuracy and performance.

Object-Oriented Software: Design and Maintenance

Author : Luiz Fernando Capretz,Miriam A M Capretz
Publisher : World Scientific Publishing Company
Page : 288 pages
File Size : 49,7 Mb
Release : 1996-09-09
Category : Computers
ISBN : 9789813103078

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Object-Oriented Software: Design and Maintenance by Luiz Fernando Capretz,Miriam A M Capretz Pdf

This is a textbook for a course in object-oriented software engineering at advanced undergraduate and graduate levels, as well as for software engineers. It contains more than 120 exercises of diverse complexity. The book discusses fundamental concepts and terminology on object-oriented software development, assuming little background on software engineering, and emphasizes design and maintenance rather than programming. It also presents up-to-date and easily understood methodologies and puts forward a software life cycle model which explicitly encourages reusability during software development and maintenance.

Software Design and Development: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2225 pages
File Size : 54,6 Mb
Release : 2013-07-31
Category : Computers
ISBN : 9781466643024

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Software Design and Development: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Innovative tools and techniques for the development and design of software systems are essential to the problem solving and planning of software solutions. Software Design and Development: Concepts, Methodologies, Tools, and Applications brings together the best practices of theory and implementation in the development of software systems. This reference source is essential for researchers, engineers, practitioners, and scholars seeking the latest knowledge on the techniques, applications, and methodologies for the design and development of software systems.

Guide to the Software Engineering Body of Knowledge (Swebok(r))

Author : IEEE Computer Society
Publisher : Unknown
Page : 348 pages
File Size : 49,5 Mb
Release : 2014
Category : Computer software
ISBN : 0769551661

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Guide to the Software Engineering Body of Knowledge (Swebok(r)) by IEEE Computer Society Pdf

In the Guide to the Software Engineering Body of Knowledge (SWEBOK(R) Guide), the IEEE Computer Society establishes a baseline for the body of knowledge for the field of software engineering, and the work supports the Society's responsibility to promote the advancement of both theory and practice in this field. It should be noted that the Guide does not purport to define the body of knowledge but rather to serve as a compendium and guide to the knowledge that has been developing and evolving over the past four decades. Now in Version 3.0, the Guide's 15 knowledge areas summarize generally accepted topics and list references for detailed information. The editors for Version 3.0 of the SWEBOK(R) Guide are Pierre Bourque (Ecole de technologie superieure (ETS), Universite du Quebec) and Richard E. (Dick) Fairley (Software and Systems Engineering Associates (S2EA)).