In the Spotlight …
SciPy 2020 Austin, Texas, July 6-12th SciPy 2020 has added a High Performance Python track
(NEW) Jupyter for Science User Facilities and High Performance Computing Blog entry by Rollin Thomas (Big Data Architect, NERSC) on supporting Jupyter at HPC centres and other scientific facilities. July 2019.
Try out simple number crunching code in Python, NumPy, Cython, Numba (inc GPU version) with timings.
Contributed by Daniel Smith (MolSSI).
Jupyter and HPC: Current State and Future Roadmap
IDEAS Webinar Series 2018, Matthias Bussonnier, Shreyas Cholia, Suhas Somnath
Using and Scaling Python
ALCF Simulation, Data, and Learning Workshop 2018. William Scullin (ALCF) and Oleksandr Pavlyk (Intel)
Python in HPC
IDEAS Webinar Series 2017, Rollin Thomas, NERSC; William Scullin, ANL; Matt Belhorn, ORNL
Any feedback, corrections, and suggested additions are welcome: email@example.com. Join the Slack page or raise a github issue in this repository (esp. broken links etc).
If this page was useful you can provide a Star on github: