WIP: Parallelize evaluation of solvers in bmark_solvers#127
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MonssafToukal wants to merge 2 commits intoJuliaSmoothOptimizers:mainfrom
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WIP: Parallelize evaluation of solvers in bmark_solvers#127MonssafToukal wants to merge 2 commits intoJuliaSmoothOptimizers:mainfrom
MonssafToukal wants to merge 2 commits intoJuliaSmoothOptimizers:mainfrom
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dpo
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Sep 5, 2022
| A Dict{Symbol, DataFrame} of statistics. | ||
| """ | ||
| function bmark_solvers(solvers::Dict{Symbol, <:Any}, args...; kwargs...) | ||
| function bmark_solvers(solvers::Dict{Symbol, <:Any}, args...;parallel_eval=false, kwargs...) |
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is this mandatory? what happens if we try to run the benchmarks in parallel and there is only 1 proc?
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it's mandatory to set parallel_eval=true if you want to benchmark in parallel. If you still have 1 proc, it won't do it in parallel. I added this keyword in case the user is handling multiple procs and does not want evaluate solvers in parallel. We could get rid of it it's not necessary.
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Ok we could leave it, at least for debugging, but let's set it to true by default.
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The goal of this PR is to allow the user to parallelize the evaluation of solvers when using the
bmark_solvers(solvers, problems;...)method. It can be run in parallel locally or with any form of distributed computing backend supported byClusterManagers.jl.Currently, there are a couple of issues: