Dask Parallel and Distributed Computing | SciPy 2016 | Matthew Rocklin

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Dask is a pure Python library for parallel and distributed computing. Last year Dask parallelized NumPy and Pandas computations on multi-core workstations. This year we discuss using Dask to design custom algorithms and execute those algorithms efficiently on a cluster. This talk discusses Pythonic APIs for parallel algorithm development as well as strategies for intuitive and efficient distributed computing. We discuss recent results in machine learning and novel scientific applications.
  1. Enthought
  2. Python
  3. Dask
  4. Parallel Computing
  5. Distributed Computing
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Комментарии
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The way you switch from one speaker to the other is like a rap concert ;-)
Nice talk

zapy
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OMG python is totally eating up everything in it's way!! I have been using a for loop to do grid search on neural networks using numpy for EMNIST classification and I also have access to 32 node cluster, all I need is dask and now I have it.

vailaruthvik
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The key here is to set youtube playback speed to 0.75 and he sounds normal.

marccawood