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Hi,
The loop over reps in optimizeALS seemed like a natural place to parallelise so I've cut out some of the code into a seperate function, and converted the loop to mclapply. Should save a considerable amount of time on large dataset runs. I've tested on some datasets and seems to work as expected still. If num.cores is set to 1 then the behaviour shouldn't change at all (and that is the default) but for anyone with a multicore machine they can use this instead.