JuliaParallel / JuliaParallel/DistributedArrays.jl
map with multiple arguments
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- Dominant language
- Julia
- Stars
- 205
- Forks
- 34
- PR merge metrics
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Description
It would be great if map could also be called with 2 or more distributed arrays as argument. Currently the fall-back map is used.
@everywhere using DistributedArrays
x = distribute([1:10;])
y = distribute(2*[1:10;],x);
@which map(x -> x+1,x)
@which map(x,y -> x+1,x,y)
The output is the following:
map(f, d::DistributedArrays.DArray) at /home/abarth/.julia/v0.5/DistributedArrays/src/mapreduce.jl:6
map(f, iters...) at abstractarray.jl:1711
In any case, thank you for your great library!
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with src/mapreduce.jl, especially the map implementation reported in the issue, and reproduce the two @which calls using the supplied DistributedArrays example. Trace how map dispatch handles one distributed array versus multiple iterators. Done means the multi-array call no longer falls back to abstractarray.jl and has coverage for the demonstrated case.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- distributed-systems
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100