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Open- source development is good for science as it reveals implementation details that are critical to scientific reproducibility, but generally excluded from journal publications.
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Open- source encourages collaborative and transparent software development and promotes unlimited free redistribution of source code to the public. Open- source software development has become increasingly popular in recent years. Open- Source Development of the Petascale Reactive Flow and Transport Code PFLOTRAN Cloudy looks to a bright future with a modern language. Cloudy is now openly available as a C code, and will evolve to C++ as gcc and standard C++ mature. I describe the approach I used to convert Cloudy from FORTRAN 77 with MILSPEC extensions to ANSI/ISO 89 C.
It became clear that the code would have to be ported to C to have a viable future.
F77 has serious drawbacks - modern language constructs cannot be used, students do not have skills in this language, and it does not contribute to their future employability. A common-use code must be written in either FORTRAN 77 or C to be Open Source/GNU/Linux friendly. Modern Fortran compilers (F90 and F95) are not freely available. The coming of PCs and Linux has fundamentally changed the computing environment. The FORTRAN 77 source code has always been freely available on the Internet, contributing to its widespread use. The cover of the ADAS VI book featured predictions of the code. FPP is written Fortran 77, and runs on VM/CMS, VAX/VMS, UNIX, and PC/DOS SYSTEMSĬloudy's Journey from FORTRAN to C, Why and HowĬloudy is a large-scale plasma simulation code that is widely used across the astronomical community as an aid in the interpretation of spectroscopic data. It provides conditional compilation features to enable or disable sections of code, and can modify file names in INCLUDE statements to a syntax suitable for a target platform. International Nuclear Information System (INIS)įPP is a preprocessor which aids in porting Fortran source code across differing platforms. In this paper we present a source to source compilation approach with whole-program analysis to automatically transform single-threaded FORTRAN 77 legacy code into Ope. However, porting code to such devices requires a detailed understanding of heterogeneous programming tools and effective strategies for parallelization. Massively parallel accelerators such as GPGPUs, manycores and FPGAs represent a powerful and affordable tool for scientists who look to speed up simulations of complex systems. These infections might corrupt your computer installation or breach your privacy.Domain-Specific Acceleration and Auto-Parallelization of Legacy Scientific Code in FORTRAN 77 using Source-to-Source Compilation
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