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pmap data format (Julia 1.1.0)


Julia: use of pmap with matricespmap bounds error: parallel juliaJULIA: Can pmap modify arguments in place?Julia equivalent of R's paste() functionJulia: use of pmap with Arrays vs SharedArrayssetting batch_size in pmap() JuliaParallel computing and JuliaParallel Computing with Julia @parallel and SharedArrayJulia pmap speed - parallel processing - dynamic programmingSharedArrays and data movement across processes in Julia






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0















I have a function which I run using pmap. I would like the output to be a vector - p - whose entries are the output of each iteration run parallel. For illustration, the code is as below:



@everywhere function addo(mc,mcf)

p = zeros(Int64,mcf) ;

p[mc] = mc ;

return p

end

pmap(mc -> addo(mc,mcf),1:1:mcf) ;


The output I get is



100-element ArrayArrayInt64,1,1:
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
[0, 2, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
[0, 0, 3, 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, 98, 0, 0]
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 99, 0]
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 100]


Instead, I need something like this, p = [1,2,3,4,...,100];



How do I get the output in the desired format?










share|improve this question






















  • When I have more than one return value of different types - ArrayInt64,N,SimpleDiGraphInt64,Bool - and the function is run 5 times. How can I access the second element(SimpleDiGraph) of the the 3rd run ? p[1/2/3] only return the 1st,2nd or 3rd element of the 1st run and p[3,2] returns an error.

    – user3856486
    Mar 9 at 14:02

















0















I have a function which I run using pmap. I would like the output to be a vector - p - whose entries are the output of each iteration run parallel. For illustration, the code is as below:



@everywhere function addo(mc,mcf)

p = zeros(Int64,mcf) ;

p[mc] = mc ;

return p

end

pmap(mc -> addo(mc,mcf),1:1:mcf) ;


The output I get is



100-element ArrayArrayInt64,1,1:
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
[0, 2, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
[0, 0, 3, 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, 98, 0, 0]
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 99, 0]
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 100]


Instead, I need something like this, p = [1,2,3,4,...,100];



How do I get the output in the desired format?










share|improve this question






















  • When I have more than one return value of different types - ArrayInt64,N,SimpleDiGraphInt64,Bool - and the function is run 5 times. How can I access the second element(SimpleDiGraph) of the the 3rd run ? p[1/2/3] only return the 1st,2nd or 3rd element of the 1st run and p[3,2] returns an error.

    – user3856486
    Mar 9 at 14:02













0












0








0








I have a function which I run using pmap. I would like the output to be a vector - p - whose entries are the output of each iteration run parallel. For illustration, the code is as below:



@everywhere function addo(mc,mcf)

p = zeros(Int64,mcf) ;

p[mc] = mc ;

return p

end

pmap(mc -> addo(mc,mcf),1:1:mcf) ;


The output I get is



100-element ArrayArrayInt64,1,1:
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
[0, 2, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
[0, 0, 3, 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, 98, 0, 0]
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 99, 0]
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 100]


Instead, I need something like this, p = [1,2,3,4,...,100];



How do I get the output in the desired format?










share|improve this question














I have a function which I run using pmap. I would like the output to be a vector - p - whose entries are the output of each iteration run parallel. For illustration, the code is as below:



@everywhere function addo(mc,mcf)

p = zeros(Int64,mcf) ;

p[mc] = mc ;

return p

end

pmap(mc -> addo(mc,mcf),1:1:mcf) ;


The output I get is



100-element ArrayArrayInt64,1,1:
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
[0, 2, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
[0, 0, 3, 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, 98, 0, 0]
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 99, 0]
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 100]


Instead, I need something like this, p = [1,2,3,4,...,100];



How do I get the output in the desired format?







output julia pmap






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Mar 8 at 4:26









user3856486user3856486

65




65












  • When I have more than one return value of different types - ArrayInt64,N,SimpleDiGraphInt64,Bool - and the function is run 5 times. How can I access the second element(SimpleDiGraph) of the the 3rd run ? p[1/2/3] only return the 1st,2nd or 3rd element of the 1st run and p[3,2] returns an error.

    – user3856486
    Mar 9 at 14:02

















  • When I have more than one return value of different types - ArrayInt64,N,SimpleDiGraphInt64,Bool - and the function is run 5 times. How can I access the second element(SimpleDiGraph) of the the 3rd run ? p[1/2/3] only return the 1st,2nd or 3rd element of the 1st run and p[3,2] returns an error.

    – user3856486
    Mar 9 at 14:02
















When I have more than one return value of different types - ArrayInt64,N,SimpleDiGraphInt64,Bool - and the function is run 5 times. How can I access the second element(SimpleDiGraph) of the the 3rd run ? p[1/2/3] only return the 1st,2nd or 3rd element of the 1st run and p[3,2] returns an error.

– user3856486
Mar 9 at 14:02





When I have more than one return value of different types - ArrayInt64,N,SimpleDiGraphInt64,Bool - and the function is run 5 times. How can I access the second element(SimpleDiGraph) of the the 3rd run ? p[1/2/3] only return the 1st,2nd or 3rd element of the 1st run and p[3,2] returns an error.

– user3856486
Mar 9 at 14:02












1 Answer
1






active

oldest

votes


















0














pmap, similar to map, applies your transformation function,mc -> addo(mc, mcf), to each element in the collection 1:1:mcf. The problem in your code is that for each element in the collection you are creating a new vector of size mcf and the overall result becomes an array of the arrays you create in each transformation, whereas what you want is the result of pmap to be of size mcf. Therefore, for each element in the collection, you should return only one element. pmap already gives you a collection grouping the results of each transformation.



@everywhere function addo(mc)
return mc
end

p = pmap(mc -> addo(mc), 1:1:mcf)


This will give you p = [1,2,3,4,...,100].






share|improve this answer























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    1 Answer
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    active

    oldest

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    0














    pmap, similar to map, applies your transformation function,mc -> addo(mc, mcf), to each element in the collection 1:1:mcf. The problem in your code is that for each element in the collection you are creating a new vector of size mcf and the overall result becomes an array of the arrays you create in each transformation, whereas what you want is the result of pmap to be of size mcf. Therefore, for each element in the collection, you should return only one element. pmap already gives you a collection grouping the results of each transformation.



    @everywhere function addo(mc)
    return mc
    end

    p = pmap(mc -> addo(mc), 1:1:mcf)


    This will give you p = [1,2,3,4,...,100].






    share|improve this answer



























      0














      pmap, similar to map, applies your transformation function,mc -> addo(mc, mcf), to each element in the collection 1:1:mcf. The problem in your code is that for each element in the collection you are creating a new vector of size mcf and the overall result becomes an array of the arrays you create in each transformation, whereas what you want is the result of pmap to be of size mcf. Therefore, for each element in the collection, you should return only one element. pmap already gives you a collection grouping the results of each transformation.



      @everywhere function addo(mc)
      return mc
      end

      p = pmap(mc -> addo(mc), 1:1:mcf)


      This will give you p = [1,2,3,4,...,100].






      share|improve this answer

























        0












        0








        0







        pmap, similar to map, applies your transformation function,mc -> addo(mc, mcf), to each element in the collection 1:1:mcf. The problem in your code is that for each element in the collection you are creating a new vector of size mcf and the overall result becomes an array of the arrays you create in each transformation, whereas what you want is the result of pmap to be of size mcf. Therefore, for each element in the collection, you should return only one element. pmap already gives you a collection grouping the results of each transformation.



        @everywhere function addo(mc)
        return mc
        end

        p = pmap(mc -> addo(mc), 1:1:mcf)


        This will give you p = [1,2,3,4,...,100].






        share|improve this answer













        pmap, similar to map, applies your transformation function,mc -> addo(mc, mcf), to each element in the collection 1:1:mcf. The problem in your code is that for each element in the collection you are creating a new vector of size mcf and the overall result becomes an array of the arrays you create in each transformation, whereas what you want is the result of pmap to be of size mcf. Therefore, for each element in the collection, you should return only one element. pmap already gives you a collection grouping the results of each transformation.



        @everywhere function addo(mc)
        return mc
        end

        p = pmap(mc -> addo(mc), 1:1:mcf)


        This will give you p = [1,2,3,4,...,100].







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Mar 8 at 6:47









        hckrhckr

        2,4091023




        2,4091023





























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