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Tried with magic method matmul (branch matmul_reduce), no gains on execution time, since previous code was already doing a reduce done by hand, and tasks are very well balanced.
Check which algorithms could use the @reduction decorator from COMPSs, compare the performance, and incorporate it if it's better.
Off the top of my head: KMeans, Gaussian Mixtures, LinearRegression, PCA, and probably more could use it.
We should also check how to adapt the algorithms using an arity parameter.
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