Classical FORTRAN: Programming for Engineering and Scientific Applications
โ Scribed by Michael Kupferschmid
- Publisher
- CRC Press
- Year
- 2002
- Tongue
- English
- Leaves
- 755
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Classical FORTRAN is a college text, self-study guide, and reference about computer programming for numerical calculations. The book features a conversational, classroom-proven style that is easy to read and contains numerous case studies and examples. The author provides practical advice on program design, documentation, and coding style and unusually detailed coverage of floating-point arithmetic. He thoroughly discusses performance measurement and optimization and introduces parallel processing using MPI, FORTRAN-90, High Performance FORTRAN, and vector processing. The author also gives expert advice on dealing with troublesome legacy codes.
โฆ Table of Contents
Preface
Contents
Introduction
Hello, World!
Expressions and Assignment Statements
Conditionals and Branching
Scalar Data Types
Arrays and DO Loops
Subprograms
Adjustable Dimensions and EXTERNAL
COMMON
Input and Output
Character Variables
Memory Management Techniques
Design, Documentation, and Coding Style
Archaic, Unusual, and Dangerous Usages
UNIXโ Issues
Measuring and Maximizing Serial Execution Speed
Vector and Parallel Processing
FORTRAN-90 and HPF
Some Utility Routines
Bibliography
Index
๐ SIMILAR VOLUMES
<p>Classical FORTRAN: Programming for Engineering and Scientific Applications, Second Edition teaches how to write programs in the Classical dialect of FORTRAN, the original and still most widely recognized language for numerical computing. This edition retains the conversational style of the origin
<p><i>CUDA Fortran for Scientists and Engineers</i> shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, an
<p><i>CUDA Fortran for Scientists and Engineers</i> shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, an