Fortran Modernization Workshop

Date: Monday, June 4 - Tuesday, June 5 2018, 9:00-17:00
Location: LRZ Building, University campus Garching, near Munich, Seminarraum 1, H.E.008


This two day practical hands-on workshop offered by the Numerical Algorithms Group (NAG) is aimed at Fortran programmers who want to write modern code, or to modernize existing codes, to make it more readable and maintainable by encouraging good software engineering practices. This workshop will also present how to integrate tools and techniques for Fortran codes to help you develop sustainable software for your scientific and academic research particularly in a collaborative environment. Overall, the aim is to make you a better and more productive computational scientist by improving your applied computer science skills that are directly relevant to computational science.

Topics will include:

  • Modern Fortran standards and how to write optimized and efficient Fortran;
  • NetCDF and HDF5 scientific file formats for data sharing in Fortran;
  • GNU Automake to automate the build process;
  • pFUnit unit testing framework for testing Fortran codes;
  • Fortran Documenter tool for Fortran code documentation;
  • Git version control for collaborative code development;
  • In-situ visualisation using PLplot in Fortran;
  • IEEE Floating Point Exception Handling;
  • Software verification and portability using the NAG Fortran Compiler;
  • Fortran interoperability with C, Python and R;
  • Introduction to parallelism for Fortran;
  • Fortran code verification using the CamFort tool;
  • Introduction to the NAG Fortran library.

The workshop will be run completely free of charge for participants from academia and industry and all material will be provided.

Further information can be found under:

Important Note:

Participants will have to bring their laptop and will log into a fully configured Linux server (using SSH) for the exercises.

Prerequisites: Basic knowledge of Fortran (either 77 or 90+) is required.
Language: English
Teacher: Dr. Wadud Miah, Numerical Algorithms Group (NAG)
Registration: Via the LRZ registration form. Please choose course HNAG1S18. The course is open for participants from academia and industry for free. Please mind that your contact information will be shared with NAG and NAG may use this data after the workshop to get feedback and to communicate relevant information.
NAG Page:
Contact: Dr. Volker Weinberg (LRZ)