JuliaParallel/Dagger.jl: A framework for out-of-core and parallel execution

A framework for out-of-core and parallel execution

A framework for out-of-core and parallel computing Documentation Build Status What is Dagger? Dagger.jl automatically speeds up your Julia code by running tasks in parallel across all your CPU cores, GPUs, and even multiple computers, without you having to manage the complex coordination yourself. Just wrap your function calls with Dagger.@spawn (similar to @async ), and Dagger figures out the optimal way to distribute the work and move data around, making it especially powerful for nested loops, large datasets, and GPU acceleration that would otherwise require extensive manual parallelization

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