Compiler support for the Fortran 2003 standard

Chivers, Ian; Sleightholme, Jane

doi:10.1145/1330585.1330587

Cited by 4 publications

(4 citation statements)

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“…ccsm4's coupler, cpl7, will be much easier to reimplement in Python compared to cpl6. Given the wider implementation by compilers of the Fortran2003 BINDC attribute [1], we will also investigate the viability of using this feature in place of Babel to implement Fortran/Python interoperability. We are strongly considering applying the lessons learnt thus far to ccsm4 once it is released.…”

Section: Discussionmentioning

confidence: 99%

PyCCSM: Prototyping a python-based community climate system model

Tobis¹,

Steder²,

Larson³

et al. 2010

ANZIAMJ

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Coupled climate models are multiphysics models comprising multiple separately developed codes that are combined into a single physical system. This composition of codes is amenable to a scripting solution, and Python is a language that offers many desirable properties for this task. We have prototyped a Python coupling and control infrastructure for version 3.0 of the Community Climate System Model (ccsm3). Our objective was to improve dramatically ccsm3's already flexible coupling facilities to enable research uses of the model not currently supported. We report the progress in the first steps in this effort: the construction of Python bindings for the Model Coupling Toolkit, a key piece of third-party coupling middleware used in ccsm3, and a Python-based ccsm3 coupler (pypcl) application. We report preliminary performance results for this new system, which we call pyccsm. We find pyccsm is significantly slower than its Fortran counterpart,

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Section: Discussionmentioning

confidence: 99%

PyCCSM: Prototyping a python-based community climate system model

Tobis¹,

Steder²,

Larson³

et al. 2010

ANZIAMJ

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“…Coarray Fortran is today supported by Cray with extended features and by Intel with compatibility with Fortran standards [4]. Open-source compilers are also in different development stages, such as the GCC compiler (OpenCoarrays [5]) and OpenUH [6].…”

Section: Scientific Programmingmentioning

confidence: 99%

MPI to Coarray Fortran: Experiences with a CFD Solver for Unstructured Meshes

Sharma

Moulitsas

2017

Scientific Programming

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High-resolution numerical methods and unstructured meshes are required in many applications of Computational Fluid Dynamics (CFD). These methods are quite computationally expensive and hence benefit from being parallelized. Message Passing Interface (MPI) has been utilized traditionally as a parallelization strategy. However, the inherent complexity of MPI contributes further to the existing complexity of the CFD scientific codes. The Partitioned Global Address Space (PGAS) parallelization paradigm was introduced in an attempt to improve the clarity of the parallel implementation. We present our experiences of converting an unstructured high-resolution compressible Navier-Stokes CFD solver from MPI to PGAS Coarray Fortran. We present the challenges, methodology, and performance measurements of our approach using Coarray Fortran. With the Cray compiler, we observe Coarray Fortran as a viable alternative to MPI. We are hopeful that Intel and open-source implementations could be utilized in the future.

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“…Currently, a number of Fortran compiler vendors support all (or almost all) of the OOP features included in the Fortran 2003 standard. These compilers include [36] (i) NAG (http://www.nag.com/); (ii) GNU Fortran (http://gcc.gnu.org/fortran/); (iii) IBM XL Fortran (http://www-142.ibm.com/software/ products/us/en/fortcompfami/); Fortran 2003 supports procedure overriding where developers can specify a type-bound procedure in a child type that has the same binding name as a type-bound procedure in the parent type. Fortran 2003 also supports user-defined constructors that can be implemented by overloading the intrinsic constructors provided by the compiler.…”

Section: Object-oriented Fortranmentioning

confidence: 99%

Extracting UML Class Diagrams from Object-Oriented Fortran: ForUML

Nanthaamornphong

Carver

Morris

et al. 2015

Scientific Programming

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Many scientists who implement computational science and engineering software have adopted the object-oriented (OO) Fortran paradigm. One of the challenges faced by OO Fortran developers is the inability to obtain high level software design descriptions of existing applications. Knowledge of the overall software design is not only valuable in the absence of documentation, it can also serve to assist developers with accomplishing different tasks during the software development process, especially maintenance and refactoring. The software engineering community commonly uses reverse engineering techniques to deal with this challenge. A number of reverse engineering-based tools have been proposed, but few of them can be applied to OO Fortran applications. In this paper, we propose a software tool to extract unified modeling language (UML) class diagrams from Fortran code. The UML class diagram facilitates the developers' ability to examine the entities and their relationships in the software system. The extracted diagrams enhance software maintenance and evolution. The experiments carried out to evaluate the proposed tool show its accuracy and a few of the limitations.

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Compiler support for the Fortran 2003 standard

Cited by 4 publications

References 0 publications

PyCCSM: Prototyping a python-based community climate system model

PyCCSM: Prototyping a python-based community climate system model

MPI to Coarray Fortran: Experiences with a CFD Solver for Unstructured Meshes

Extracting UML Class Diagrams from Object-Oriented Fortran: ForUML

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