Fortran Wiki
Articles

Published Fortran Articles

• Alam, Shahid (2014). Is Fortran Still Relevant? Comparing Fortran with Java and C++ International Journal of Software Engineering & Applications (IJSEA), Vol.5, No.3, May 2014.

• Chin, L. S., D. J. Worth and C. Greenough (2006). Thoughts on using the Features of Fortran 95. Software Engineering Group Notes no. SEG-N-003.

• Cohen, M. (1999). Object orientation and Fortran 2002: part II. ACM SIGPLAN Fortran Forum 18, 14–21.

• Decyk, V. K., C. D. Norton, and B. K. Szymanski. (1997). Expressing Object-Oriented Concepts in Fortran 90. ACM SIGPLAN Fortran Forum 16, 13–18.

• Diaz, Javier, Marco Pinna, Andrei V. Zvelindovsky, and Ignacio Pagonabarraga (2021). Parallel Hybrid Simulations of Block Copolymer Nanocomposites using Coarray Fortran. Macromolecular Theory and Simulations.

• Erwig, Martin, et al. Parametric Fortran (3 papers)

• Gray, M. G. and R. M. Roberts (1997). Object-based programming in Fortran 90. Computers in Physics 11, 355–361.

• Haveraaen, M., et al. (2015) High-Performance Design Patterns for Modern Fortran Scientific Programming

• Johnson, Seth R., Andrey Prokopenko, and Katherine J. Evans (2020). Automated Fortran–C++ Bindings for Large-Scale Scientific Applications Computing in Science & Engineering Sept.-Oct. 2020, pp. 84-94, vol. 22.

• Kedward, L. et al. (2022) The State of Fortran Computing in Science & Engineering, doi: 10.1109/MCSE.2022.3159862.

• Magnin, V., Alves, J., Arnoud, A., Markus, A., and Esposito Marzino, M., “Fortran… et puis quoi encore ?”, Bulletin 1024, no. 22, pp.143–161, November 2023, DOI:10.48556/SIF.1024.22.143, licence CC BY-NC-ND 4.0, also available in English: “Fortran… ok, and what’s next?” (hal-04448657 and arXiv:2402.07520).

• Markus, A. (2001). Generic programming in Fortran 90. ACM SIGPLAN Fortran Forum 20(3), 20-23.

• Markus, A. (2006). Design patterns and Fortran 90/95. ACM SIGPLAN Fortran Forum, 25(1), 13-29.

• McCalpin, J. D. (1996). A Case Study of Some Issues in the Optimization of Fortran 90 Array Notation Scientific Programming.

• McCormack, D. (2005). Generic programming in Fortran with Forpedo. ACM SIGPLAN Fortran Forum 24(2), 18-29.

• McGavin, P. and R. Young (2001). A generic list implementation. ACM SIGPLAN Fortran Forum 20(1), 16-20.

• Morris, K. (2015) Emulating Multiple Inheritance in Fortran 2003/2008 Scientific Programming.

• Nanthaamornphong, A., and A. Leatongkam (2019) Extended ForUML for Automatic Generation of UML Sequence Diagrams from Object-Oriented Fortran Scientific Programming.

• Ott, Jordan, et al. (2020). A Fortran-Keras Deep Learning Bridge for Scientific Computing Scientific Programming.

• Padua, D. (2000). The Fortran I Compiler Computing in Science $ Engineering.

• Poppe, K., R. Cools, and B. Vandewoestyne (2012). Error handling in Fortran 2003. Fortran Forum 31(2), 7-19. Updated article here

• Pietzer, A., et al. (2008). Exposing Fortran Derived Types to C and Other Languages IEEE Explore.

• Reid, J. (2003). The future of Fortran. Computing in Science & Engineering 5, 59–67.

• Schonfelder, J.L. (2003) Variable Precision Arithmetic: A Fortran 95 Module Scientific Programming.

• Singleterry, Robert C. (2018) Single Thread to Fortran Coarray Transition Process for the Control Algorithm in the Space Radiation Code HZETRN NASA-TP-2018-219811.

• Sharma, A., and I. Moulitsas (2017) MPI to Coarray Fortran: Experiences with a CFD Solver for Unstructured Meshes Scientific Programming.

• Shterenlikht, A. and L. Cebamanos (2018). Cellular automata beyond 100k cores: MPI vs Fortran coarrays Proceedings of the 25th European MPI Users’ Group Meeting.

• Vanderbauwhede, Wim (2022). Making legacy Fortran code type safe through automated program transformation. The Journal of Supercomputing volume 78, pages 2988–3028.

• Worth, D. J. (2008). State of the art in object oriented programming with fortran. Technical Report RAL-TR-2008-002.

• Yue, S., and J. Gray (2014). SPOT: A DSL for Extending Fortran Programs with Metaprogramming Scientific Programming.

Unpublished Fortran articles

• Dauptain, Antoine (2021). Screening the coding style of Large Fortran HPC Codes

• Ehlert, Sebastian (2022). Using objects across language boundaries: Exploring the limits of language interoperability and consistent API design

• Stulajter, Miko M., Ronald M. Caplan, and Jon A. Linker (2021). Can Fortran’s ‘do concurrent’ replace directives for accelerated computing?

Fortran Advocacy and Language Comparisons (reverse chronological order)

• Discovering and Enjoying Fortran(2023) by Simon Rowe

• Why You Should Consider Using Fortran As A Data Scientist: An exploration of the benefits that Fortran can bring to Data Science and Machine Learning(2023) by Egor Howell

• Why Fortran is a scientific powerhouse(2023), The Myths of Fortran(2022), and Why Fortran is Easy to Learn(2022) by Michael Wirth

• Is Fortran “a dead language”? Some C++ folk seem to think so…(2022) by Jim Cownie

• I enjoyed modern Fortran(2022) by Radek Gruchalski

• Fast, Cheap, and Turbulent—Global Ocean Modeling With GPU Acceleration in Python(2021) by Dion Häfner, Roman Nuterman, and Markus Jochum. Discussed here

• Computer Language Benchmarks Game - Which programming language is fastest?

• On the Performance of GPU accelerated q-LSKUM based meshfree solvers in Fortran, C++, Python, and Julia(2021) by Nischay Ram Mamidi et al.

• raytracer(2021) - raytracer benchmark in dozens of languages, by edin

• Assessment of Programming Languages for Computational Numerical Dynamics(2021) by Arturo Burgos. Compares Fortran, Julia, Matlab, and Python

• What Julia can and can’t replace about Fortran(2021), by Joshua Laughner

• Testing Julia: Fast as Fortran, Beautiful as Python(2021) by Martin D. Maas. Code here. Also Why is Fortran still used?, Will Julia replace Fortran for high-performance computing?

• Analysis of the performance of evaluating the density gradient employing various language implementations (C++/Fortran/Rust/Julia)(2021)

• What is the superiority of Fortran over alternative languages like Chapel or Julia?(2021) - discussion at Fortran Discourse

• NetworkDynamics.jl – Composing and simulating complex networks in Julia(2021) by Michael Lindner et al. Discussed here. Network Dynamics Benchmarks comparing Fortran, Julia and Python here

• This old programming language is suddenly getting more popular again(2021) by Liam Tung, ZDNet

• Resurrecting Fortran(2021) by Ondrej Certik

• Performance comparison R, Julia, Fortran for Bayesian binary probit(2021) by Dries Benoit

• The Quest for Speed - An Indicative Survey in Improving Performance(2021) by Bryn Noel Ubald

• A Comparative Study on the Efficiency of Compiled Languages ‎and MATLAB/Simulink for Simulation of Highly Nonlinear ‎Automotive Systems(2020) by Amir Hossein Pasdar, Shahram Azadi, and Reza Kazemi, Journal of Applied and Computational Mechanics. Discussed here

• First year of Fortran-lang(2020) by Milan Curcic

• Basic Comparison of Various Computing Languages: Python, Julia, Matlab, IDL, R, Java, Scala, C, Fortran(2020) by Jules Kouatchou and Alexander Medema

• What does Fortran need in 2020 to survive?(2020) by zmiimz

• The Linear Algebra Mapping Problem(2019) by Christos Psarras, et al

• Programming languages and particle physics(2019) by Jim Pivarski

• Why I chose C for backtesting: Lessons from a journey to build an intraday backtesting engine(2019) by M. Emmanuel

• Is Julia the best language for quantitative finance?(2019) by M. Emmanuel

• Why to Use Fortran For New Projects(2019) by John Pask and Ondřej Čertík

• A Comparison of Programming Languages in Economics: An Update(2018) by S. Boragan Aruoba and Jesus Fernandez-Villaverde. original paper code at GitHub

• The Need for Speed Part 2: C++ vs. Fortran vs. C(2018) by Avi. Part 1

• Energy efficiency across programming languages: how do energy, time, and memory relate?(2017) by Rui Pereira et al.

• Comparison of performance: Python NumPy and Numba, MATLAB, and Fortran(2017) by Charles Jekel

• A Comparative Study of Programming Languages for Next-Generation Astrodynamics System(2016) by Helge Joachim Eichhorn, Frazer McLean, and Juan Luis Cano Rodríguez

• Fortran is alive!(2016) from VORtech

• Why physicists still use Fortran(2015) by Daniel C. Elton

• Formula translation in Blitz++, NumPy and modern Fortran: A case study of the language choice tradeoffs(2014) by Sylwester Arabas, Dorota Jarecka, Anna Jaruga, and Maciej Fijałkowski, Scientific Programming 22 (2014) 201–222

• Scientific computing’s future: Can any coding language top a 1950s behemoth? (2014) by Lee Phillips

• Why (and Why Not) to Use Fortran Instead of C++, Matlab, Python etc.(2012) by Nick Maclaren

• The Rise and Fall of High Performance Fortran(2011) by Ken Kennedy, Charles Koelbel, and Hans Zima, Communications of the ACM

• Debunking the Myths About Fortran(2011) by Craig T. Dedo

• C++ vs Fortran(2011) by lmf

• C vs Fortran for scientific computing by Jannis Teunissen

• The Joy of Fortran (2010) by Sam Urmy

• Should Fortran be taught to Undergraduates? (2009) by Mike Croucher of NAG

• Why Fortran? (2007) by Viktor K. Decyk, Charles D. Norton, and Henry J. Gardner, Computing in Science and Engineering

• Scientific Programming in Fortran(2007) by W. Van Snyder, Scientific Programming 15 pp3–8

• Fortran: A Modern Standard Programming Language For Parallel Scalable High Performance Technical Computing(2006) by David B. Loveman

• Programming languages in economics: a comparison among Fortran77, C++, and Java(2005) by Vieira, Wilson da Cruz and Levi H. Santana de Lelis

• The Importance Of Fortran In The 21st Century (2003) by Walt Brainerd, Journal of Modern Applied Statistical Methods.

• Cloudy’s Journey from FORTRAN to C, Why and How(2000) - by G. J. Fernald, published in Astronomical Data Analysis Software and Systems IX, ASP Conference Proceedings, Vol. 216, edited by Nadine Manset, Christian Veillet, and Dennis Crabtree. Astronomical Society of the Pacific, ISBN 1-58381-047-1, 2000., p.32

• On the Numerical Efficiency of C++ in Scientic Computing(1999) by Erlend Arge et al.

• Fortran 90 subsets offer simplified environment for first-time users(1998) by Donald L. Shirer, Computers in Physics 12, 166; doi: 10.1063/1.168632

• Using the F Programming Language in the Classroom(1997) by Bob Hancock

• Portability and Power with the F Programming Language(1997) by Walt Brainerd, David Epstein, and Richard Hendrickson, Linux Journal.

• Fortran 90 for Science Students(1995) by John Prentice

• Should C Replace FORTRAN as the Language of Scientific Programming?(1995) by Linda Wharton

• Retire Fortran?: a debate rekindled (1992) by David Cann. Communications of the ACM

• Computing in Science: Fortran outlasts them all - While hardware technology proceeds apace, scientists still battle away with Fortran programming(1989) by Don Monro, New Scientist.

• Has FORTRAN a Future?(1985) by Michael Metcalf, Computer Physics Communications Volume 38, Issue 2, October–November 1985, Pages 199-210

• Why C++ will replace FORTRAN (or, at least, why it should)(1984) by Thomas Keffer, ACCU

• A debate: Retire FORTRAN?: Yes. New applicative languages, based on mathematical functions rather than FORTRAN‐like statements, will enhance our ability to decompose problems for concurrent processing.(1984) by James R. McGraw, Physics Today 37, 5, 66

• A debate: Retire FORTRAN?: No. Supercomputers simply need supercompilers that automatically restructure programs for concurrent processing.(1984) David J. Kuck and Michael Wolfe, Physics Today 37, 5, 67

See also

• Books
• Beebe, Nelson H.F. Bibliography on the Fortran programming language. This is a searchable database, also available in BibTeX form.
• Publications from the OpenCoarrays project