Starcluster - Taking advantage of multiple cores on EC2
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Dear Starcluster Gurus,
I've successfully loaded the Starcluster AMI onto a single high-memory quadruple extra large instance and am performing an SVD on a large sparse matrix and then performing k-means on the result. However, I'm only taking advantage of one core when I do this? On my laptop (using scipy numpy, intel MKL), on a small version of this, all cores are taken advantage of automagically. Is there an easy way to do this with a single starcluster instance with Atlas? Or do I need to explicitly write my code to multithread?
Received on Wed Aug 31 2011 - 12:59:30 EDT