JuliaLang / JuliaLang/Distributed.jl
Calling pmap within threads hangs
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Description
Hi, for some reason the code snippet below hangs. Does any one have an explanation as to why this hangs
using distributed
addprocs(2)
tasks = Vector{Task}(undef,4)
@sync for i in 1:4
tasks[i] = Threads.@spawn begin
pmap(x->x, WorkerPool(workers()), 1:10)
end
end
fetch.(tasks)
Surprisingly if i first run pmap(x->x, WorkerPool(workers()), 1:10) before running the code above everything works as expected.
julia> versioninfo()
Julia Version 1.4.1
Commit 381693d3df* (2020-04-14 17:20 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Core(TM) i3-5005U CPU @ 2.00GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-8.0.1 (ORCJIT, broadwell)
Environment:
JULIA_NUM_THREADS = 4
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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 by reproducing the Julia 1.4.1 example using JULIA_NUM_THREADS=4, addprocs(2), Threads.@spawn, and pmap with WorkerPool(workers()). Compare it with the version that runs pmap once beforehand; done means identifying why the threaded calls hang and documenting or correcting the behavior with a reliable verification.
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Assessment
- Tech stack
- julia
- Domain
- distributed-systems
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100