ParallelDataTransfer.jl <https://github.com/ChrisRackauckas/ParallelDataTransfer.jl> is a library for sending and receiving data among processes defined using Julia's parallel computing framework. This library can be used to:
- Send variables to worker processes - Directly define variables on worker processes - Broadcast a definition statement to all workers - Get variables from remote processes - Pass variables between processes This library is constructed so these operations are done safely and easily, with the wait/fetch/sync operations built in. This allows one to do parallel programming at a high-level, specifying what data is moving, and not the details of how it moves. Also included are examples of how to use this functionality type-safely. Since these functions/macros internally utilize eval statements, the variables they define are in the global scope. However, by passing these variables into functions or declaring their types, one can easily use this library with type-stable functions. Please see the README for details. If you like this project, please star the repository to show your support. Please feel free to suggest features by opening issues (and please report bugs as well). Thank you for your attention.
