The application is Logistic Regression (OWLQN), we develop a sparse vector
version. The feature dimesions is 1M+, but its very sparse. This appliction
can run on another spark cluster, and every stage is about 50 seconds, and
every executors have highly cpu usage. the only difference is OS(the faster
one is ubuntu, and the slower on is centos).

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