Interfacing PODIO to Julia

Currently, two major languages are used in high-energy physics (HEP): C++ for numerically intensive code, where execution speed is critical, and Python for interactivity and simplicity of development (frequently used as 'glue' between high-performance code modules). Julia has recently sparked increased attention as a potential language for HEP. This could provide Python's convenient features while maintaining C++'s ideal computational efficiency. In order to continue this investigation, this project will interface the data model library PODIO with Julia. This will allow you to read existing data files into a Julia program. This project seeks to use the same YAML-syntax to auto-generate Julia code for the end user to be utilized in HEP, as well as to do performance testing to compare the language interfaces for C++ and Julia. General Plan PODIO can already : Read YAML files and validate and parse them to extract necessary information like data members, relations and vector members of components and form MemberVariable objects from that information, forming a object dictionary to be used by the jinja2 template engine (using templates for C++) to generate C++ code. Our Plan: Build a prototype without code generation to test whether the current info passed to the jinja2 template Engine by the ClassGenerator class is sufficient, Accordingly adding the pre-processing logic required to the ClassGenerator class create new templates and dictionaries for jinja2 to generate Julia code. Running tests on the Julia code and refactoring generator code. Benchmarking and Documentation.