Consider the following code:

```
nw = nworkers()
@show nw
N=20
@eval @everywhere N = $N
spw = ceil(Int, N / nw)
@show spw
@everywhere yr = SharedArray(Float64, N)
@everywhere yr = 1:N
@everywhere sigma = SharedArray(Float64, N)
@everywhere function dummy_batch(arange, yr, sigma)
@show arange
for i in arange
sigma[i] = yr[i] * yr[i]
@show sigma[i]
end
end
my_ranges = [(i:min(i+spw-1,N)) for i = 1:spw:N]
@show my_ranges
@time pmap((arg)->dummy_batch(arg,yr,sigma), my_ranges)
@show sigma
@show sdata(sigma)
```

As you can see from the following log the SharedArray is assigned the correct values by the the workers however after pmap sigma is all zeros. I have used SharedArrays in the past with 0.4.7, I am running this code with 0.5.1. Did anything change in the new version?

-Arrigo

nw = 5

spw = 4

my_ranges = UnitRange{Int64}[1:4,5:8,9:12,13:16,17:20]

From worker 2: arange = 1:4

From worker 2: sigma[i] = 1.0

From worker 5: arange = 9:12

From worker 4: arange = 5:8

From worker 2: sigma[i] = 4.0

From worker 5: sigma[i] = 81.0

From worker 4: sigma[i] = 25.0

From worker 2: sigma[i] = 9.0

From worker 5: sigma[i] = 100.0

From worker 4: sigma[i] = 36.0

From worker 2: sigma[i] = 16.0

From worker 5: sigma[i] = 121.0

From worker 4: sigma[i] = 49.0

From worker 5: sigma[i] = 144.0

From worker 4: sigma[i] = 64.0

From worker 3: arange = 17:20

From worker 3: sigma[i] = 289.0

From worker 3: sigma[i] = 324.0

From worker 3: sigma[i] = 361.0

From worker 3: sigma[i] = 400.0

From worker 6: arange = 13:16

From worker 6: sigma[i] = 169.0

From worker 6: sigma[i] = 196.0

From worker 6: sigma[i] = 225.0

. From worker 6: sigma[i] = 256.0

041796 seconds (5.67 M allocations: 240.650 MB, 2.37% gc time)

sigma = [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]

sdata(sigma) = [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]