DiskArrayEngine.jlv0.2.3 (pre-alpha!)

Tools for defining and running large computations without out-of-memory issues!

How to start using DiskArrayEngine.jl?

This package is not intended for direct use by end-users. Instead, YAXArrays.jl is the recommended entry point for utilizing the features provided here. It is a package designed for operating on out-of-core labeled arrays.

Out-of-core and parallel computing!

Run computations represented as directed acyclic graphs (DAGs) efficiently across multiple Julia worker processes and threads using Dagger.jl.

Local runner

Of course, you can always prototype on your local computer. Test multi-threaded and multi-process execution using Distributed.jl before fully committing to Dagger.jl.