Conveners
Julia - The Language
- Maria Guadalupe Barrios Sazo (Forschungszentrum Juelich)
Automatic Differentiation (AD) is an important technique for both scientific computing and machine learning. AD frameworks from the machine learning world often lack the ability to differentiate programming patterns common in scientific computing, such as mutation and parallelism.
In my talk, I will cover the AD framework in Enzyme and how it can be used to differentiate scientific codes in...
Reliably deploying binary dependencies to users on various architectures is a non-trivial problem for package authors. More often than not this task is delegated to the user or automated using assumptions that don't always hold.
The Julia programming language built a tool-chain for robust deployment of binaries and binary dependencies called BinaryBuilder.jl that is useful well outside the...
