A clear and thorough description of the latest versions of Fortran by leading experts in the field. 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 as a handy reference for practitioners.

Software -- Programming Languages.

A new edition of this work on FORTRAN 8X, covering language, programming and procedures. It is aimed at FORTRAN users and programming language specialists.

A tutorial guide that shows programmers how to apply features of Fortran 2008 in a modular, concise, object-oriented and resource-efficient manner, using multiple processors.

The F programming language is a dramatic new development in scientific programming. Building on the well-established strengths of the Fortran family of languages, it is carefully crafted to be both safe and regular, whilst retaining the enormously powerful numerical capabilities of its parentlanguage, Fortran 90, as well as its data abstraction capability. Thus, an array language becomes available as part of a medium-size, widely-available language for the first time. In this respect, the language is clearly superior to older ones such as Pascal, C, and Basic. The book begins with anintroductory chapter, then describes, in turn, the features of the language: language elements, expressions and assignments, control constructs, program units and procedures, array features, intrinsic procedures, and the input/output facilities. It is completed by six appendices, including thedifference between F and Fortran 90, and solutions to most of the exercises. In the absence of a formal standard for F, this book is the defining document for the language, setting out the complete syntax and semantics of the language in a readable but thorough way. It is essential reading forusers of F.

Since the publication of the first edition, parallel computing technology has gained considerable momentum. A large proportion of this has come from the improvement in VLSI techniques, offering one to two orders of magnitude more devices than previously possible. A second contributing factor in the fast development of the subject is commercialization. The supercomputer is no longer restricted to a few well-established research institutions and large companies. A new computer breed combining the architectural advantages of the supercomputer with the advance of VLSI technology is now available at very attractive prices. A pioneering device in this development is the transputer, a VLSI processor specifically designed to operate in large concurrent systems. Parallel Computers 2: Architecture, Programming and Algorithms reflects the shift in emphasis of parallel computing and tracks the development of supercomputers in the years since the first edition was published. It looks at large-scale parallelism as found in transputer ensembles. This extensively rewritten second edition includes major new sections on the transputer and the OCCAM language. The book contains specific information on the various types of machines available, details of computer architecture and technologies, and descriptions of programming languages and algorithms. Aimed at an advanced undergraduate and postgraduate level, this handbook is also useful for research workers, machine designers, and programmers concerned with parallel computers. In addition, it will serve as a guide for potential parallel computer users, especially in disciplines where large amounts of computer time are regularly used.

This volume presents the proceedings of the First International workshop on Parallel Scientific Computing, PARA '94, held in Lyngby, Denmark in June 1994. It reports interdisciplinary work done by mathematicians, scientists and engineers working on large-scale computational problems in discussion with computer science specialists in the field of parallel methods and the efficient exploitation of modern high-performance computing resources. The 53 full refereed papers provide a wealth of new results: an up-to-date overview on high-speed computing facilities, including different parallel and vector computers as well as workstation clusters, is given and the most important numerical algorithms, with a certain emphasis on computational linear algebra, are investigated.