نتایج جستجو برای: fortran programming language

تعداد نتایج: 633486  

2007
Oddur Benediktsson

At the end of World War II, people considered Iceland an underdeveloped country. The use of IBM punched card systems started in 1949. The first computers appeared in 1964. Then the University of Iceland acquired an IBM 1620 “scientific” computer. The first computer language used to instruct engineers and scientists was FORTRAN II. The subsequent development gives an interesting picture of the a...

2015
Xingchen Yu

In the project, we explore LU decomposition with or without pivoting to compute systems of linear equations which are fundamental to any linear algebra problems. We used modular programming in Fortran to perform LU decomposition, forward and backward substitution for three different systems of linear equations. We used python to execute Fortran and compare results generated from our Fortran pro...

Journal: :Computer Physics Communications 2010
S. Stamatiadis S. C. Farantos

AUTO_DERIV is a module comprised of a set of FORTRAN 90 procedures which can be used to calculate the first and second partial derivatives of any continuous function with many independent variables. The function should be expressed as one or more FORTRAN 90 or FORTRAN 77 procedures. A new type of variables is defined and the overloading mechanism of functions and operators provided by the FORTR...

1994
Michael Wolfe Mitsuru Ikei

Languages such as Fortran D and High Performance Fortran use ex plicit virtual processor arrays Templates or Decompositions to which the programmer explicitly aligns the arrays of the program We explore a technique to automate this process In particular we are interested in imperative languages similar to Fortran and scienti c computations using indexed data structures arrays We have implemente...

2002
Jinn-Liang Liu Ing-Jer Lin

This article describes an object-oriented implementation of the finite element method and the finite volume method in a unified adaptive system using the programming language C++. The system applies to various types of mathematical model problems. Traditionally, different numerical methods for different types of problems are implemented independently by procedural languages such as C and Fortra...

1994
Luiz De Rose David Padua

Interactive array languages are powerful programming tools for the development of programs for numerical computation. They provide an environment that tends to increase productivity in software development. The trade-off is that in order to provide this nicer programming environment, array languages are usually interpreted, with the resulting negative effect on performance. The ideal programmin...

1998
Paul A. Gray Vaidy S. Sunderam

This paper discusses how the aspects unique to the Java programming language can be combined with complementary and unique aspects of other languages such as C and Fortran. This combining of the strong features of Java, such as portability and platform independence, with packages and legacy codes written in traditional languages such as C and Fortran results in a program blend which exhibits po...

2008
Karoly Bosa Wolfgang Schreiner

We proposed to participate in the Austrian Grid Phase 2 within the frame of the activity “Grid Research”. We intend to deal with development of a distributed programming tool for grid computing which shall empower applications to perform scheduling decisions on their own, utilizing the information about the grid environment in order to adapt the algorithmic structure to the particular situation...

1993
K. Mani Chandy Ian T. Foster

This paper proposes extensions of sequential programming languages for parallel programming that have the following features: 1. Dynamic Structures The process structure is dynamic: Processes and variables can be created and deleted. 2. Paradigm Integration The programming notation allows shared memory and message passing. 3. Determinism Demonstrating that a program is deterministic | all execu...

2007
Erich Schikuta

In this paper a novel approach for the data parallel simulation of neural networks on general purpose parallel machines is presented. We deene this new neural network simulation methodology algorithmically, and call it the 'Structural Data Parallel' approach. This approach is based on the Single-Program-Multiple-Data (SPMD) programming model and utilizes the highly specialized programming capab...

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