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Practically Accurate Floating-Point Math

COMPUTING IN SCIENCE & ENGINEERING 2014年第4期16卷 80-+页

作者： Toronto, Neil McCarthy, Jay Brigham Young Univ Provo UT 84602 USA

With the right tools, floating-point code can be debugged like any other code, drastically improving its accuracy and reliability.

关键词： IEEE 754-2008 floating-point standard scientific programming code debugging floating-point code scientific computing

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Change-driven development for scientific software

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JOURNAL OF SUPERCOMPUTING 2017年第5期73卷 2229-2257页

作者： Mendez, Mariano Tinetti, Fernando G. Univ Buenos Aires Fac Ingn Buenos Aires DF Argentina UNLP III LIDI Fac Informat La Plata Buenos Aires Argentina Comis Inv Cient Prov Buenos Aires La Plata Buenos Aires Argentina

scientific software production dates back to the days before the computer science discipline obtained its own name. Over the past 76 years, scientists have been producing software, which means that most of the modern techniques and software engineering methods available these days did not exist while part of this process was taking place. Change-driven development was born as a new approach to maintain and develop scientific software. Founded on the principles of software essence (changeability, complexity, intangibility, and conformity), integrated development tools, and automated source code transformation. This new, agile approach takes change as a working unit devised to drive the entire development process, which is performed in a four-stage cycle. One of the most interesting approaches to apply change-driven development on scientific software is to update, modernize and even parallelize sequential programs that have been written 20 or 30 years ago and are still running in production environments. This process will be thoroughly described and implemented. Two successful case studies will be presented and analyzed in depth.

关键词： Change-driven development scientific programming High performance computing

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Automated computation and consistency checking of physical dimensions and units in scientific programs

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SOFTWARE-PRACTICE & EXPERIENCE 2001年第11期31卷 1067-1076页

作者： Petty, GW Univ Wisconsin Madison WI 53706 USA

Physical dimensions and units form an essential part of the specification of constants and variables occurring in scientific programs, yet no standard compilable programming language implements direct support for automated dimensional consistency checking and unit conversion. This paper describes a conceptual basis and prototype implementation for such support within the framework of the standard Fortran 90 language. This is accomplished via an external module supplying appropriate user data types and operator interfaces. Legacy Fortran 77 scientific software can be easily modified to compile and run as `dimension-aware' programs utilizing the proposed enhancements. Copyright (C) 2001 John Wiley & Sons, Ltd.

关键词： physical dimensions units scientific programming Fortran 90

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HIGH-PRODUCTIVITY SOFTWARE DEVELOPMENT WITH pMATLAB

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COMPUTING IN SCIENCE & ENGINEERING 2009年第1期11卷 75-79页

作者： Mullen, Julie Bliss, Nadya Bond, Robert Kepner, Jeremy Kim, Hahn Reuther, Albert MIT Lincoln Lab Embedded Digital Syst Grp Cambridge MA 02139 USA

pMatlab, a parallel Matlab library, lowers the barrier to development of parallel and distributed application codes by providing an easy-to-use programming environment.

关键词： high-performance computing parallel computing parallel programming scientific programming Software design High Performance Computing Parallel Lines Parallel programming scientific programmes PARALLEL PROCESSING (COMPUTERS) computer software

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Sprinting ain't easy

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COMPUTING IN SCIENCE & ENGINEERING 2008年第1期10卷 70-71页

作者： Dubois, Paul F.

Contributing editor Paul F. Dubois talks about a programming sprint in which he recently participated.

关键词： Python Google Ubuntu Windows scientific programming Cafe Dubois

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A virtual computing laboratory

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COMPUTING IN SCIENCE & ENGINEERING 2008年第2期10卷 65-69页

作者： Kaylor, Joe Thiruvathukal, George K. Chicago-area financial consulting company Loyola University Chicago

Many institutions choose to do periodic imaging of computers, which is both painstaking and limiting in terms of keeping software up to date. The authors describe an approach that builds on existing virtualization tec... 详细信息

关键词： scientific programming Virtualization Parallel programming Machine Imaging

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Domain-Specific Languages in scientific Computing

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COMPUTING IN SCIENCE & ENGINEERING 2018年第1期20卷 88-92页

作者： Hinsen, Konrad Ctr Biophys Mol Orleans France

If you have been following developments in software engineering in recent years, you have probably noticed that the term "DSL" (domain-specific language) has become a minor buzzword in that field. You may have concluded that this is a hot new idea that is certainly not ready for application in real life. But, as I will show in this article, computational scientists (and others) have been using DSLs for decades. What is new is not DSLs per se, but the name and the attention given to them.

关键词： Natural Sciences Computing Software Engineering Specification Languages Computational Scientists DSL Software Engineering scientific Computing Domain Specific Languages Syntactics Data Structures Libraries programming Software Engineering Formal Languages DSL scientific programming Software Engineering Domain Specific Language

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Goodbye to all that

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COMPUTING IN SCIENCE & ENGINEERING 2008年第4期10卷 93-95页

作者： Dubois, Paul F. Contributing editor

Columnist Paul F. Dubois says good-bye to his readers in this, his final installment of Café Dubois. This entertaining history of how the column came to be follows his own career path/arc.

关键词： Caf Dubois Chess Science scientific programming Physics Mathematics

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Numerical Computing With Modern Fortran

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丛书名： Other Titles in Applied Mathematics

2013年

作者： Richard J. Hanson Tim Hopkins

ISBN: (数字)9781611973129

ISBN: (纸本)9781611973112

The Fortran language standard has undergone significant upgrades in recent years (1990, 1995, 2003, and 2008). Numerical Computing with Modern Fortran illustrates many of these improvements through practical solutions to a number of scientific and engineering problems. Readers will discover techniques for modernizing algorithms written in Fortran; examples of Fortran interoperating with C or C++ programs, plus using the IEEE floating-point standard for efficiency; illustrations of parallel Fortran programming using coarrays, MPI, and OpenMP; and a supplementary website with downloadable source codes discussed in the book. Audience: This book is intended for Fortran programmers seeking to update their programming skills using the language s latest features and for C and C++ programmers who want to understand key software aspects of numerical computing using modern Fortran. It is suitable for an upper-level undergraduate or early graduate course on advanced numerical scientific computing. Contents: Introduction; Chapter 1: The Modern Fortran Source; Chapter 2: Modules for Subprogram Libraries; Chapter 3: Generic Subprograms; Chapter 4: Sparse Matrices, Defined Operations, Overloaded Assignment; Chapter 5: Object-Oriented programming for Numerical Applications; Chapter 6: Recursion in Fortran; Chapter 7: Case Study: Toward a Modern QUADPACK Routine; Chapter 8: Case Study: Quadrature Routine qag2003; Chapter 9: IEEE Arithmetic Features and Exception Handling; Chapter 10: Interoperability with C; Chapter 11: Defined Operations for Sparse Matrix Solutions; Chapter 12: Case Study: Two Sparse Least-Squares System Examples; Chapter 13: Message Passing with MPI in Standard Fortran; Chapter 14: Coarrays in Standard Fortran; Chapter 15: OpenMP in Fortran; Chapter 16: Modifying Source to Remove Obsolescent or Deleted Features; Chapter 17: Software Testing; Chapter 18: Compilers; Chapter 19: Software Tools; Chapter 20: Fortran Book Code on SIAM Web Site; Bibliography; Index.

关键词： Numerical application Fortran source code numerical algorithm scientific programming

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Modern Fortran Explained: Incorporating Fortran 2018 5

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丛书名： Numerical mathematics and scientific computation

2018年

作者： Michael Metcalf John Reid Malcolm Cohen

ISBN: (数字)9780191850028

ISBN: (纸本)9780198811893

Fortran marches on, remaining one of the principal programming languages used in high-performance scientific, numerical, and engineering computing. A series of significant revisions to the standard versions of the language have progressively enhanced its capabilities, and the latest standard—Fortran 2018—includes many additions and improvements. This second edition of Modern Fortran Explained expands on the first. Given the release of updated versions of Fortran compilers, the separate descriptions of Fortran 2003 and Fortran 2008 have been incorporated into the main text, which thereby becomes a unified description of the full Fortran 2008 version of the language. This is much cleaner, many deficiencies and irregularities in the earlier language versions having been resolved. It includes object orientation and parallel processing with coarrays. Four completely new chapters describe the additional features of Fortran 2018, with its enhancements to coarrays for parallel programming, interoperability with C, IEEE arithmetic, and various other improvements. Written by leading experts in the field, two of whom have actively contributed to Fortran 2018, this is a complete and authoritative description of Fortran in its latest form. It is intended for new and existing users of the language, and for all those involved in scientific and numerical computing. It is suitable as a textbook for teaching and, with its index, as a handy reference for practitioners.

关键词： Fortran 2008 Fortran 2018 C interoperability parallel programming object-oriented programming scientific programming engineering computing numerical computing Fortran 2008 Fortran 2018 C interoperability parallel programming object-oriented programming scientific programming engineering computing numerical computing

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