Conveners
Cross-Platform Development with C/C++
- Maria Guadalupe Barrios Sazo (Forschungszentrum Juelich)
Deployment of scientific software across diverse platforms like MacOS, Windows, and Linux is a requirement for any software which is developed for the broader community. Such deployment presents multifaceted challenges, particularly when mixed-language programming (e.g., C/C++, Fortran and Python) with intricate dependencies (like Qt or Python) is a part of the build mechanism.
Addressing...
Creating an architecture for distributed system consisting of several machines operating different software with different programming languages can be a challenge. Do you find yourself designing new interfaces over and over again with only use case specific differences? We present a solution to that: libjapi.
libjapi is an abstract and reliable C library that can be integrated in existing...
Did you inherit a huge C or C++ research code?
Are you supposed to make it faster (say you're in HPC)?
Are you supposed to introduce new features (say you're in physics)?
Or perhaps you want to rejuvenate this code?
You estimate the code to be too large for that to be done properly or cleanly?
This talk introduces the ideas of the Coccinelle system for large-scale code analysis and...
The Julia programming language aims to provide a modern approach to scientific high-performance computing by combining a high-level, accessible syntax with the runtime efficiency of traditional compiled languages. Due to its native ability to call C and Fortran functions, Julia often acts as a glue code in multi-language projects, enabling the reuse of existing libraries implemented in...
