JuliaParallel / JuliaParallel/SlurmClusterManager.jl
Slurm: SharedArrays fails on ClusterManagers.jl
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manager: SLURM
- Dominant language
- Julia
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Description
The documentation example for SharedArrays in parallel computing fails when using a SlurmManager:
`using ClusterManagers, Distributed`
`addprocs(SlurmManager(8), topology=:all_to_all)`
`using SharedArrays`
`a = SharedArray{Float64}(100)`
`@distributed for i = 1:100`
` a[i] = i`
`end`
Returns an empty array. The following code will work:
`using ClusterManagers, Distributed`
`addprocs(8, topology=:all_to_all)`
`using SharedArrays`
`a = SharedArray{Float64}(100)`
`@distributed for i = 1:100`
` a[i] = i`
`end`
Packages:
Julia 1.1.0
ClusterManagers 0.3.2
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