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Tutorial 2 provides codes for
different ways of task parallelism which is useful for Statistics especially
when independent jobs are assumed, for example, Monte Carlo, resampling,
bootstrap, multiple testing, etc.
We continuously use <code>iris</code> dataset to perform the next
short examples to compute 95% confidence intervals for the mean of
each variable based on nonparametric bootstrap.
The wiki page
<a href="http://en.wikipedia.org/wiki/Iris_flower_data_set"
target="_blank"><i>Iris</i> flower data set</a> gives the detail description.
1. <a href="./tutorial2/boot_spmd.html">Bootstrap Iris in SPMD</a>.
2. <a href="./tutorial2/boot_pull.html">Bootstrap Iris in Task Pull</a>.
3. <a href="./tutorial2/boot_push.html">Bootstrap Iris in Task Push</a>.
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