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San Diego Supercomputer Center Lightning tutorials @ Supercomputing 2016

The Github repository at https://github.com/sdsc/lightning-tutorials-sc16 contains teaching material for 15 minutes tutorials on Raspberry Pi 3 for the San Diego Supercomputer Center booth at Supercomputing 2016 in Salt Lake City. Questions? Tweet to @andreazonca.

Download the complete program of the activities at the SDSC booth.

Tutorials

Multi-threaded and out-of-core programming in Python (Andrea Zonca, HPC Applications Specialist)

Jupyter Notebooks (for Python 3) that introduce the usage of dask for processing data larger than the memory available (out-of-core computing), dependancy resolution with dask graphs and manipulation of numpy-style arrays with multipole cores (multi-threading).

Face detection with OpenCV (Robert Sinkovits, Director of Scientific Computing Applications)

Python 2 demo software using the Computer Vision library OpenCV to detect faces in images, the folder contains also a version of the demo using a webcam connected to the Raspberry Pi.

KMeans clustering of weather data (Ilkay Altintas, Chief Data Science Officer)

Jupyter Notebooks (for Python 3) that load weather data in CSV format with pandas, compute statistics, generates plots and computes KMeans clustering with scikit-learn.

About education initiatives at San Diego Supercomputer Center

SDSC provides quality education and training in high-performance computing, data-intensive computing, and data analytics. Researchers, professionals, and students in higher education participate in a wide range of workshops, institutes, degrees, and certificate programs. For more information, visit http://www.sdsc.edu/education_and_training/index.html

License

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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