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Fast sequential, threaded, and distributed for-loops for Julia, fold for humans.FLoops.jl provides a macro @floop. It can be used to generate a fast generic sequential and parallel iteration over complex collections. Furthermore, the loop written in @floop can be executed with any compatible executors. See FoldsThreads.jl for various thread-based executors that are optimized for different kinds of loops. FoldsCUDA.jl provides an executor for GPU. FLoops.jl also provides a simple distributed executor.
Features
- Sequential (single-thread) loop
- FLoops works by converting the native Julia for loop syntax to foldl defined by Transducers.jl
- FoldsThreads.jl provides multiple alternative thread-based executors
- FoldsCUDA.jl provides a simple GPU executor
- FLoops can generate high-performance parallel iterations for any collections that supports SplittablesBase.jl interface
- Examples available
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow FLoops.jl
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