Fortran 95
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| Fortran 95 | |
|---|---|
 Fortran-lang community · Public domain · source | |
| Name | Fortran 95 |
| Paradigm | Procedural, imperative, modular |
| Designer | ISO/IEC JTC 1/SC 22 committee |
| Developed | 1990s |
| Latest release | ISO/IEC 1539-1:1997 (commonly cited) |
| Influenced by | FORTRAN 66, FORTRAN 77, Fortran 90 |
| Influenced | Fortran 2003, Fortran 2008, High Performance Fortran |
| Typing | Static, strong |
| License | Various |
Fortran 95 Fortran 95 is a standardized revision of a long-lived programming language designed for numeric and scientific computing. It refines and extends prior revisions with an emphasis on array processing, performance, and compatibility, and it was formalized under international standards bodies. Implementations and tools for this standard have been produced by major compiler vendors and research groups, shaping computational practice in scientific institutions, national laboratories, and industrial engineering environments.
History and Standardization
The standardization of Fortran 95 was carried out by the International Organization for Standardization through the ISO/IEC JTC 1/SC 22 committee, building on earlier standards such as the ANSI standard that aligned with Fortran 77 and the substantial revisions introduced by Fortran 90. The process involved contributions from national bodies including ANSI, DIN, and BSI, and from industrial stakeholders like IBM, Intel, Cray Research, and research organizations such as Los Alamos National Laboratory and CERN. The published ISO document consolidated amendments and corrigenda submitted after the prior standard, and the resulting specification became the reference for compiler implementers and software developers across universities, government labs, and companies such as NASA, NOAA, and Siemens.
Language Features
Fortran 95 emphasizes array syntax, intrinsic procedures, and modular programming facilities introduced earlier while pruning seldom-used legacy features. Key facilities include whole-array operations, elemental functions, and array constructors that support concise expression of numerical algorithms often used at institutions like Argonne National Laboratory and Lawrence Livermore National Laboratory. The standard retains module-oriented design that facilitates encapsulation comparable to practices promoted by IEEE working groups and applied in projects at MIT and Stanford University. Performance-oriented features support parallelization strategies that were influential in projects at Oak Ridge National Laboratory and in collaborations with companies like Cray Research.
Syntax and Semantics
The syntactic rules formalize program units, declarations, and control constructs with strong typing and explicit interfaces. Declarations for scalars, arrays, and derived types follow a consistent specification used in curricula at Massachusetts Institute of Technology and University of Cambridge, and the semantics ensure predictable behavior across conforming compilers such as offerings from GCC and proprietary vendors like Intel. Control structures include conditional execution and iteration constructs, and the standard clarifies the scope and linkage semantics crucial for large codebases developed at institutions including Princeton University and California Institute of Technology.
Library and Intrinsic Procedures
Fortran 95 specifies a rich set of intrinsic procedures for numerical computation, character manipulation, and array operations that echo libraries used at Argonne National Laboratory and integrated into scientific stacks at National Center for Atmospheric Research. Intrinsics for linear algebra, transcendental functions, and array inquiries support interoperability with external libraries like LAPACK, BLAS, and scientific middleware employed by organizations such as European Space Agency and NOAA. The standard also delineates I/O semantics that underpin data handling in analysis pipelines developed at National Renewable Energy Laboratory and research groups at University of Oxford.
Compiler Implementations and Tools
Major compiler implementations providing Fortran 95 support include commercial products from Intel, NAG (Numerical Algorithms Group), and legacy compilers from Cray Research as well as open-source implementations such as GCC's GNU Fortran front-end. Development environments and toolchains integrate debuggers and profilers used in projects at Lawrence Berkeley National Laboratory and interactive tools adopted in computational science courses at ETH Zurich. Vendor tool suites often provide optimization passes and vectorization support tuned for hardware platforms from Intel Corporation, AMD, and supercomputing installations like HPC centers.
Adoption and Use Cases
Fortran 95 has been widely adopted in domains requiring high-performance numerical computation, including computational fluid dynamics, climate modeling, finite element analysis, and computational chemistry. Large codebases at NOAA, NCAR (National Center for Atmospheric Research), and European Centre for Medium-Range Weather Forecasts rely on Fortran standards for model development and operational forecasting. Engineering firms such as General Electric and Siemens have maintained scientific libraries and simulation frameworks targeting Fortran standards, while academic research in institutions like Imperial College London and University of Tokyo has produced substantial Fortran-based contributions to numerical methods.
Compatibility and Legacy Issues
The standard aims for backward compatibility with earlier language editions but also deprecates and removes archaic constructs to encourage modern practices. Migration of legacy code from dialects and older compilers maintained at laboratories like Los Alamos National Laboratory and industrial sites requires careful attention to I/O semantics, common blocks, and extension usage prevalent in historical projects. Interfacing with languages such as C and higher-level environments used at Jet Propulsion Laboratory necessitates adherence to calling conventions and interoperability guidelines, while continued maintenance of large scientific applications has driven the development of modernization efforts and mixed-language toolchains endorsed by communities around OpenMP and MPI.