“…Annotation Multi level heterogeneous parallelism and deep memory hierarchies in current and emerging computer systems make their programming for high performance applications very difficult The task is made more challenging by the changing landscape of system architecture mandated by power and micro architecture considerations Domain specific languages (DSLs) and high level frameworks (HLFs) provide convenient abstractions, shielding application developers from much of the complexity and variability of explicitly programming in standard programming languages like C C Fortran Effective design of such abstractions for the high performance computing context requires close interaction between researchers developing such languages and frameworks and domain experts with a deep understanding of the problem to be solved While a number of other venues exist that address domain specific languages and high level programming…”

“…New to the Second Edition A new chapter that introduces R Markdown v2 Changes that reflect improvements in the knitr package New sections on generating tables, defining custom printing methods for objects in code chunks, the C/Fortran engines, the Stan engine, running engines in a persistent session, and starting a local server to serve dynamic documents Boost Your Productivity in Statistical Report Writing and Make Your Scientific Computing with R Reproducible Like its highly praised predecessor, this edition shows you how to improve your efficiency in writing reports. …”

“…This edition also includes a CD-ROM that contains the TradeStation EasyLanguage program, Excel spreadsheets, and Fortran programs that appear in the book. Note : CD-ROM/DVD and other supplementary materials are not included as part of eBook file…”

“…The book concludes by describing the transition from BASIC to FORTRAN. Computer programmers, scientists, engineers, statisticians, and other research workers who wish to acquire knowledge of computer programming will find this book invaluable…”

“…The high-level programming languages that are used throughout this book are C/C++ and Fortran95. For more information about the Blue Gene/Q system, see "IBM Redbooks" on page 159.…”

“…A basic knowledge of C++, C, or Fortran is required to understand the topics covered in this book. …”

“… Given the improved analytical capabilities of Excel, scientists and engineers everywhere are using it--instead of FORTRAN--to solve problems. And why not? Excel is installed on millions of computers, features a rich set of built-in analyses tools, and includes an integrated Visual Basic for Applications (VBA) programming language. …”

Tabla de Contenidos: “…Code Management and Improvement; Continuous Integration; System Administration; Server Automation; System and Task Monitoring; Speed; Interfacing with C/C++/FORTRAN Libraries…”

Tabla de Contenidos: “…C, C++, and Java ModesCustomizing code indentation style; LISP Mode; FORTRAN Mode; 13. Version Control Under Emacs; Version Control Commands; Version Control Variables; 14. …”

Tabla de Contenidos: “…Key Construction Decisions; Assembly Language; C; C++; C#; Cobol; Fortran; Java; JavaScript; Perl; PHP; Python; SQL; Visual Basic; 4.2. …”

Tabla de Contenidos: “…Working with filesReading and writing CSV files; Using DataFrames; Other file formats; Working with TCP sockets and servers; Interacting with databases; Parallel operations and computing; Creating processes; Using low-level communications; Parallel loops and maps; Distributed arrays; Summary; Chapter 9: Running External Programs; Running shell commands; Interpolation; Pipelining; Calling C and FORTRAN; Calling Python; Performance tips; Tools to use; Summary; Chapter 10: The Standard Library and Packages; Digging deeper into the standard library; Julia's package manager…”

Tabla de Contenidos: “…Worm detection research based on biological immune principle and FCM algorithmFusion of multifocus based on NSCT and NMF; System design of detection device for special cigarette filter; The ant colony optimal algorithm based on neighborhood search to solve the traveling salesman problem; Design and implementation of FORTRAN to C Translator based on Perl scripts; Application of computer simulation technique in field waterflood system; The thinking of the introduction of computer technology course; Discussion on the method of MatlabWeb application development…”

“…Para el método de elementos finitos se utiliza un código propio en lenguaje Fortran 90. En ambos métodos se estudia el comportamiento del fluido para diferentes índices de potencia. …”
Enlace del recurso

Tabla de Contenidos: “…Chapter 25. Mixed C++/Fortran 90 Implementation of Parallel Flow SolversChapter 26. …”

Tabla de Contenidos: “…Appendices -- 6.7.1. Appendix 1: FORTRAN program -- 6.7.2. Appendix 2: Expressions of the molecule orientation - heat bath phonons coupling terms -- 6.7.3. …”

Tabla de Contenidos: “…-- Practical parallelization with R -- Using C++ and Fortran to accelerate calculations -- Using an old-school approach with Fortran -- Using a modern approach with C++ -- Looking back at what we have achieved -- Other topics of interest to enhance performance -- Preallocating memory to avoid duplication -- Making R code a bit faster with byte code compilation -- Just-in-time (JIT) compilation of R code -- Using memoization or cache layers -- Improving our data and memory management -- Using specialized packages for performance -- Flexibility and power with cloud computing -- Specialized R distributions -- Summary -- Chapter 10: Adding Interactivity with Dashboards -- Required packages…”

“…This new pocket guide gives you a convenient quick reference for using the debugger with several different programming languages, including C, C++, Java, Fortran and Assembly. The GNU debugger is the mo…”

Tabla de Contenidos: “…Realizacion de la Practica; 15.3. Solucion en Fortran; 15.4. Solucion en Mathematica; Capıtulo 16; 16.1. …”

Tabla de Contenidos: “…Eine einzelne Skriptdatei lesen -- Strukturbeispiele aus HowDoI -- Stilbeispiele aus HowDoI -- Diamond -- Eine größere Anwendung lesen -- Strukturbeispiele aus Diamond -- Stilbeispiele aus Diamond -- Tablib -- Eine kleine Bibliothek lesen -- Strukturbeispiele aus Tablib -- Stilbeispiele aus Tablib -- Requests -- Eine größere Bibliothek lesen -- Strukturbeispiele aus Requests -- Stilbeispiele aus Requests -- Werkzeug -- Code in einem Toolkit lesen -- Stilbeispiele aus Werkzeug -- Strukturbeispiele aus Werkzeug -- Flask -- Code in einem Framework lesen -- Stilbeispiele aus Flask -- Strukturbeispiele aus Flask -- Kapitel 6: Guten Code ausliefern -- Nützliches Vokabular und nützliche Konzepte -- Paketierung Ihres Codes -- Conda -- PyPI -- Einfrieren Ihres Codes -- PyInstaller -- cx_Freeze -- py2app -- py2exe -- bbFreeze -- Paketierung für Linux-Built-Distributionen -- Ausführbare ZIP-Dateien -- Teil 3: Szenario-Guide -- Kapitel 7: Nutzerinteraktion -- Jupyter Notebooks -- Kommandozeilenanwendungen -- argparse -- docopt -- Plac -- Click -- Clint -- cliff -- GUI-Anwendungen -- Widget-Bibliotheken -- Spieleentwicklung -- Webanwendungen -- Web-Frameworks/Mikroframeworks -- Web-Template-Engines -- Web-Deployment -- Kapitel 8: Codemanagement und -optimierung -- Continuous Integration -- Tox -- Systemadministration -- Travis-CI -- Jenkins -- Buildbot -- Serverautomatisierung -- System- und Task-Überwachung -- Geschwindigkeit -- Threading -- Multiprocessing -- Subprozesse -- PyPy -- Cython -- Numba -- GPU-Bibliotheken -- Interfacing mit C-/C++-/FORTRAN-Bibliotheken -- Kapitel 9: Software-Interfaces -- Webclients -- Web-APIs -- Datenserialisierung -- Pickle -- Sprachübergreifende Serialisierung -- Komprimierung -- Das buffer-Protokoll -- Verteilte Systeme -- Vernetzung -- Kryptografie -- ssl, hashlib und secrets -- pyOpenSSL -- PyNaCl und libnacl -- Cryptography…”

Tabla de Contenidos: “…Preprocessing -- Classification with logistic regression -- Classification with support vector machines -- Regression with ElasticNetCV -- Support vector regression -- Clustering with affinity propagation -- Mean shift -- Genetic algorithms -- Neural networks -- Decision trees -- Summary -- Chapter 11: Environments Outside the Python Ecosystem and Cloud Computing -- Exchanging information with Matlab/Octave -- Installing rpy2 package -- Interfacing with R -- Sending NumPy arrays to Java -- Integrating SWIG and NumPy -- Integrating Boost and Python -- Using Fortran code through f2py -- PythonAnywhere Cloud -- Summary -- Chapter 12: Performance Tuning, Profiling, and Concurrency -- Profiling the code -- Installing Cython -- Calling C code -- Creating a process pool with multiprocessing -- Speeding up embarrassingly parallel for loops with Joblib -- Comparing Bottleneck to NumPy functions -- Performing MapReduce with Jug -- Installing MPI for Python -- IPython Parallel -- Summary -- Appendix A: Key Concepts -- Appendix B: Useful Functions -- Matplotlib -- NumPy -- Pandas -- Scikit-learn -- SciPy -- scipy.fftpack -- scipy.signal -- scipy.stats -- Appendix C: Online Resources -- Index…”