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UID:pretalx-euroscipy-2024-89BJ9Q@pretalx.com
DTSTART;TZID=CET:20240829T132000
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DESCRIPTION:Dask is a popular Python framework for scaling your workloads\,
  whether you want to leverage all of the cores on your laptop and stream l
 arge datasets through memory\, or scale your workload out to thousands of 
 cores on large compute clusters. Dask allows you to distribute code using 
 familiar APIs such as pandas\, NumPy and scikit-learn or write your own di
 stributed code with powerful parallel task-based programming primitives.\n
 \nIn this session we will dive into the many ways to deploy Dask workloads
  on HPC\, and how to choose the right method for your workload. Then we wi
 ll dig into the accelerated side of Dask and how you can leverage GPUs wit
 h RAPIDS and Dask CUDA and use UCX to take advantage of accelerated networ
 king like Infiniband and NVLink.
DTSTAMP:20260610T065342Z
LOCATION:Room 6
SUMMARY:Accelerating Python on HPC with Dask - Jacob Tomlinson
URL:https://pretalx.com/euroscipy-2024/talk/89BJ9Q/
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