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Add note about adaptively launching tasks in blog post. (#582)
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Philipp Moritz
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@@ -202,6 +202,9 @@ while len(remaining_ids) > 0:
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results.append(ray.get(ready_ids[0]))
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{% endhighlight %}
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Note that it would be straightforward to modify the above example to adaptively
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launch new tasks whenever a previous one completes.
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# Efficient Shared Memory and Serialization with Apache Arrow
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Serializing and deserializing data is often a bottleneck in distributed
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