In Homework Assignment 9 we wrote a program that would process a data file, converting the raw data to true stress and strain, and compute the toughness, and then in Homework Assignment 13 we extended that code to make it parallel with MPI.jl. In this assignment, we will create another parallel solution this time using DistributedArrays.jl.
Your assignment is to complete the Julia module assignment15.jl. Specifically, you must complete the function partition_data(strain::AbstractArray, stress::AbstractArray).
In partition_data(), the strain/stress arguments are Arrays that contain the entire stress and strain data only on the processor running the Julia REPL. This function should distribute the strain/stress data to all processors available by turning them into DistributedArrays. If done correctly, the code shouldn't need anymore modifications.
When the script is executed with the following command in the Terminal application from the root of the assignment repository
julia --project=. -e 'using Distributed; addprocs(3, exeflags="--project"); using assignment15; compute_toughness_parallel("./data/data.csv")'it run on 3 processors and will print the toughness value to the screen. Your code should be parallel consistent, i.e. it should produce the exact same answer independent of the number of processors you specify.
To see if your answer is correct, run the following command at the Terminal command line from the repository's root directory
julia --project=. -e "using Pkg; Pkg.test()"the tests will run and report if passing or failing.