High Throughput Computing with Dask

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Thumbnail of Intelligent High Throughput Computing (2019)

Intelligent High Throughput Computing (2019)

Last year we had a workshop that looked at some possibilities for High Throughput Computing (you can find all the details here). We would like to invite you to a follow-up workshop this year from July 1-5, again hosted in Turin.

The workshop will be 3.5 days long consisting of 1.5 days with three different Python libraries related to Dask:
Dask: https://docs.dask.org/en/latest/
Dask_jobqueue: https://dask-jobqueue.readthedocs.io/en/latest/
jobqueue_features: https://github.com/E-CAM/jobqueue_features
The last library is something that has been developed since last year by E-CAM. It allows the user to create tasks that call out to MPI programs, and easily configure the tasks to run on different types of resources (CPU/GPU/KNL).

The final 2 days will be a hackathon where you can work on your own use case with technical assistance.

The following datasets have been published through this Space and any affiliated Spaces.

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